Hossein Khiabanian
Hossein Khiabanian is an assistant professor at Rutgers University. In the Rabadan lab, Hossein's research was in quantitative biology—specifically, developing statistical methods to analyze genomic data, from the study of the molecular epidemiology of disease-causing organisms to investigating the genetics underlying human diseases. He also worked on methods for the early detection of outbreaks, real-time disease surveillance, and analyzing electronic health records. Prior to joining Dr. Rabadan’s group, he was a member of the Observational Cosmology group at Brown University, where he received his Ph.D. in Physics.
h.khiabanian[at] · homepage

Jiguang Wang
Jiguang Wang is a professor at The Hong Kong University of Science and Technology. In the Rabadan lab, he worked on cancer evolution and developed computational methods to reveal the evolutionary landscape of tumors under treatment. Jiguang received his Ph.D. in Applied Mathematics from the Academy of Mathematics and Systems Science, where he won the Special Prize of President Scholarship and Excellent PhD thesis Award in the Chinese Academy of Sciences. Prior to working in Dr. Rabadan’s group, he was an assistant research professor at the Beijing Institute of Genomics.
jgwang[at] · homepage

Francesco Abate
Francesco Abate currently works at McKinsey & Company. He received his bachelor's and master's degrees at the Polytechnic University of Turin in Italy in 2004 and in 2007, respectively. In 2011 he received his Ph.D. in systems and computer engineering from the Department of Control and Computer Engineering (DAUIN). In 2008 he worked with the CAD Group at the university in the field of fault tolerance and embedded systems and was a visiting student at the Federal University of Rio Grande do Sul (UFRGS) in Porto Alegre, Brazil. In 2009 he joined the Polytechnic University of Turin's Electronic Design Automation Group. In the Rabadan Lab, he worked on the design of data mining tools applied to bioinformatics, the development of next generation sequencing analysis pipelines, and computational biology problems in cancer.

Daniel Scholes Rosenbloom
Daniel Scholes Rosenbloom currently works at Merck. He received his Ph.D. in Organismic and Evolutionary Biology from Harvard University in 2013. As a member of the Program for Evolutionary Dynamics at Harvard, he focused on mathematical models of viral infection and evolution. In the Rabadan Lab, Daniel worked on developing methods in “topological genomics” — using tools from algebraic topology to characterize both human evolution and the spread of HIV. He also collaborated with the Siliciano Lab at Johns Hopkins Medical School on issues of HIV treatment and latency.
daniel.rosenbloom[at] · homepage

Pablo G. Camara
Pablo G. Camara is an Assistant Professor at the University of Pennsylvania. He is currently interested in the application of topological techniques to the study of recombination in organisms, with particular emphasis on human genetics. He received his Ph.D. in Theoretical Physics in 2006 and performed research in High Energy Physics between 2006 and 2014, with postdoctoral appointments at Ecole Polytechnique, the European Organization for Nuclear Research (CERN), and University of Barcelona.
pcamara[at] · homepage

Joseph Chan
Joseph Chan is an Oncology and Post-doctoral Fellow in Computational Biology at Memorial Sloan Kettering Cancer Center. He received his B.S. in Biomedical Computation at Stanford University and graduated from the Columbia University MSTP program in 2014 with an MD and PhD in computational biology. His PhD dissertation, under the mentorship of Dr. Rabadan, focused on developing novel techniques in algebraic and network topology of influenza evolution. In particular, he modeled the global spread of seasonal influenza as a network that predicted the importance of different nodes (locations) in the transmission of the virus. He also developed a novel method based on algebraic topology that captured clonal and reticulate evolution in viruses. The second half of his thesis focused on cancer—in particular, the detection of gene fusions in glioblastoma, which led to the discovery of targetable, recurrent FGFR-TACC and EGFR-SEPT14 fusions.

Michael Lesnick
Michael Lesnick is an Assistant Professor in the Department of Mathematics at SUNY Albany. He visited the Rabadan Lab in 2015. In 2012, he received his Ph.D. from Stanford University in computational mathematics. In 2012-2013, he was a Member of The School of Mathematics at the Institute for Advanced Study, and since then has been at the IMA. Michael's research focuses on topological data analysis; he is interested in theoretical foundations, development of new tools for exploratory data analysis, and applications to biology.
mlesnick[at] · homepage

Mykola Bordyuh
Mykola Bordyuh served as a postdoctoral research scientist in the Department of Biomedical Informatics. He received his B.S. and M.S. degrees from the Moscow Institute of Physics and Technology in Applied Mathematics and Physics and his Ph.D. in Electrical Engineering from Princeton University. His current research interests are applications of topological data analysis to biological data with an emphasis on cancer genomics.

Rachel Melamed
Rachel Melamed is currently a postdoctoral researcher in the Rzhetsky Lab at The University of Chicago. She received her Ph.D. from the Department of Biomedical Informatics at Columbia in 2015. Her undergraduate concentration was in computer science at Brown University. After a stint in software engineering, Rachel worked as a research assistant at the Benoist-Mathis Lab at Harvard Medical School, where she analyzed microarray data to understand mechanisms of T-cell activation as well as to compare mouse models of autoimmune disease. She has also worked on understanding cell signaling in immune cell types, and in immune-derived cancer cells, using many-dimensional single cell cytometric measurements.
melamed[at] · homepage

Albert Lee
Albert Lee is currently a bioinformatics scientist at Counsyl. He received his Ph.D from the Department of Biomedical Informatics and his B.S. in molecular, cell, and developmental biology with honors from the University of California at Los Angeles. In 2013, he received his master's in Biomedical Informatics. His research interest centers on the statistical analysis of RNA sequencing data to elucidate the transcriptomes of uncharacterized species. He has also worked on problems in cancer and infectious disease.

Kevin Emmett
Kevin Emmett received his Ph.D. in the Rabadan Lab. His research interests are applications of topological data analysis to genomic data and the statistical topology of models in population genetics. Areas of focus include population structure and human demographic models, lateral gene transfer in bacteria and viruses, and statistical models of chromatin spatial organization. Additional work has involved machine learning methods for predicting host adaptation in infectious diseases, statistical models for analyzing next generation sequencing data, and signaling network inference in cancer. Kevin was jointly advised by Chris Wiggins.

Sakellarios Zairis
Sakellarios Zairis is a Clinical Fellow in Medicine at Harvard Medical School. He received his Ph.D. in Computational Biology, as well as his MD, from Columbia. In the lab, his work focused on using machine learning approaches to understand how oncogenic viruses affect the mutational landscape of certain cancers. Sakellarios was also a member of the Wiggins Lab.

Chioma Madubata
Chioma Madubata was awarded a PhD in the Rabadan Lab and is currently pursuing an MD at Columbia University College of Physicians and Surgeons. She graduated from Harvard University in 2011 with a A.B. in molecular and cellular biology. As an undergraduate, she continued research at the United States Department of Agriculture studying parasite population genetics. She also completed an undergraduate thesis at the Broad Institute of Harvard and MIT, performing high content chemical screening for compounds that improve the pancreatic cell environment in diabetes. During her first summer of medical school, she performed research at Memorial Sloan-Kettering Cancer Center. She is interested in oncology, cancer genomics, and cancer therapeutics.

Ohad Balaga
Ohad Balaga received his bachelor's degree in Computer Science and Computational Biology from The Hebrew University of Jerusalem. His research at HUJI revolved around combinatorial gene regulation by microRNA and the inference of such regulation from gene expression and network data. In the Rabadan Lab, Ohad's research focused on influenza mutations, evolution and quasispecies. He worked jointly with Dr. Sagi Shapira.

Erik Ladewig
Erik Ladewig was awarded a PhD in computational biology in Columbia's Integrated Program in Cellular, Molecular, Structural and Genetic Studies. His current interests include algorithms in statistical analysis of high throughput data to infer disease mechanisms and evolution. Before attending Columbia, he was a member of the Eric Lai Laboratory at Memorial Sloan Kettering Cancer Center. His research included biogenesis and post-transcriptional modifications of small non-coding regulatory RNAs.

Patrick van Nieuwenhuizen
Patrick van Nieuwenhuizen received his MD from Columbia University College of Physicians and Surgeons. He graduated from Princeton University in 2010 with an A.B. in Physics. After graduation he spent two years in Zimbabwe building Upenyu Health Group, a non-profit devoted to treating parasitic worm infections. He is interested in applying topological data analysis to oncology and other aspects of medicine.

Udi Rubin
Udi Rubin received his B.S.c in Natural Sciences from the Open University of Israel in 2013. Working for several years in the Israeli Hi-Tech scene alongside his growing passion for the life sciences, led him to pursue Columbia’s M.A Biotechnology degree. In his master’s thesis, Udi applies topological data analysis techniques on bulk and single-cell RNA-seq data to study non-small cell lung cancer.

Liyuan Zhu
Liyuan Zhu received his MA from the Department of Biomedical Informatics, and his B.S. in Biology from Tsinghua University, China. In 2015, he was awarded his master's in Molecular Virology and Microbiology from Baylor College of Medicine. In the Rabadan Lab, he worked on sequencing data of Ebola patients.

Efua Peterson
Efua Peterson holds a Bachelor's degree in Mathematics and Computer Science from Columbia University. She is interested in genomics and oncology, and in Rabadan Lab she is applying methods of topological data analysis to the study of genetic recombination.

Bryan Hisashi Louie
Bryan is a third year undergraduate at Columbia University pursuing a B.S. in Biomedical Engineering. He previously worked in the Cell and Molecular Biomechanics Lab at Columbia, where he studied the mechanotransduction pathway of primary cilia in bone. His current interests are in cancer biology and genomics. In the Rabadan Lab, he is currently working on a project on cancer evolution.

Jacqueline Aw
Jacqueline is undertaking a summer observership at the Rabadan Lab. She is a third year undergraduate majoring in Biochemistry and Cell Biology, at the Hong Kong University of Science and Technology. She is interested in elucidating lncRNA shuttling mechanisms based on sequence homology.

Tim Chu
Tim received his B.A. in biology at NYU in 2012 and his Masters' in computer science at NYU in 2016. Previously, he worked in a microbiology lab studying the spore coat of B. subtilis. In the Rabadan, his work focused on pipeline design and data visualization. He currently works at the New York Genome Center.

Jonathan Reichel
Jonathan Reichel is currently lead bioinformatics scientist at the Innovation Laboratory in the Center for Molecular Oncology at Memorial Sloan Kettering Cancer Center. He graduated with high honors in Biological Sciences from the University of Maryland in College Park, where he worked on a human genetics association study and designed paramagnetic nanotubes made from silicon dioxide and magnetite for use in bioextraction and future drug delivery systems. Since then, he has studied computer engineering as a post-baccalaureate student at Rutgers University and served in the Peace Corps. In the Rabadan Lab, Jonathan worked on developing computational tools to discover signals in high-throughput sequencing data with a focus on cancer, gene fusions, and novel pathogens.

Alex Penson
Alex Penson is a senior computational biologist at Memorial Sloan Kettering. In the Rabadan Lab, his research focused on searching for traces of disease-causing organisms in genetic data as well as studying the molecular basis of Myelodysplastic syndrome and Hodgkin’s lymphoma. He worked on computational and statistical methods to efficiently analyze large amounts of genomic data, drawing on skills honed during his doctoral work in high energy physics searching for hypothetical sub-atomic particles called gravitons at the LHC in Switzerland.

Zachary Carpenter
Zachary Carpenter currently works at McKinsey & Company. He received a Ph.D from the Columbia Department of Pharmacology and Molecular Signaling in 2014. He was also a fellow of the Med into Grad Scholars (MIG) Program at Columbia University's College of Physicians and Surgeons. He graduated from the College of New Jersey in 2009 with a B.S. in biology and minors in chemistry and computer science. His participation in the MIG Scholars program at Columbia enabled him to obtain medical experience in pediatric and adult hematological oncology, which was his main research focus under Dr. Rabadan and Dr. Adolfo Ferrando. He also studied structure-based drug design, in silico pharmacology, and clonal evolution and phasing in cancer.

Vladimir Trifonov
Vladimir Trifonov is a research scientist at The Genomics Institute of the Novartis Research Foundation (GNF), in San Diego. He received his Ph.D. in computer science from the University of Texas at Austin in 2006. He spent a year as a postdoctoral fellow at the School of Mathematics at the Institute for Advanced Study in Princeton, and a year as a research assistant professor in the Department of Mathematics, Statistics, and Computer Science at the University of Illinois, Chicago.

Benjamin Greenbaum
Benjamin Greenbaum is an assistant professor in the department of Medicine, Hematology and Medical Oncology at Mount Sinai. Previously , he was the Eric and Wendy Schmidt Member of the Simons Center for Systems Biology at the Institute for Advanced Study in Princeton. Prior to this, he spent a year as a postdoctoral fellow in the BioMaPS Institute for Quantitative Biology at Rutgers University. He received his Ph.D. in Physics from Columbia University in 2006.

Eric Minwei
Eric Minwei Liu is currently a PhD student at Weill Cornell Medical College. He holds a master’s degree from the Department of Biomedical Informatics at Columbia University, where he received the 2012 Mitsubishi UFJ Trust Scholarship. He graduated from National Taiwan University in 2005 with a dual B.S. degree in chemistry and information management and in 2007 with an M.S. degree in pharmaceutical science. After graduation, he continued working at NTU in the Jung-Hsin Lin Lab, where he built activated structure models of adenosine A2A and designed potential ligands for treating Huntington’s disease by conducting simulations of molecular dynamics.

Antony Holmes
Antony Holmes is a postdoctoral research scientist in the lab of Riccardo dalla Favera at Columbia University. He studied computer science at the University of Warwick in the UK between 2000 and 2004. During this time he also undertook several internships at Unilever Research where he worked in the bioinformatics department on database projects to manage patient data. In 2005 he moved to a newly opened interdisciplinary research center at the University of Warwick to read for his Ph.D. which looked at understanding morphogenesis in myxobacteria.

Carlos Hernández
Carlos Hernández is pursuing his Ph.D. at Stanford University. He graduated from Columbia University's School of Engineering and Applied Science, where he studied Applied Mathematics with a concentration in quantitative biology. His research interests include the molecular epidemiology of viruses and oncoviral discovery. In the past, he has worked on discerning the swine-origin of A/H1N1 human influenza pandemic using Bayesian analysisi and pathogen discovery in sequencing data. He has been awarded both Genentech and HHMI fellowships to work in the labs of Stephen Goff and Andrew McCammon, respectively.
cxh[at] · homepage

Alex Hawson
Alex Hawson is an anesthesiology resident at University of Rochester Medical Center. He graduated from Columbia University College of Physicians and Surgeons in 2012 and magna cum laude from Columbia University with a B.A. in Economics. Prior to medical school, Alex worked as a senior consultant at Deloitte focused on medical management and pharmaceutical pricing regulatory compliance. After Deloitte, he worked as a consultant developing custom software for hedge funds. Alex did a year of research in the Rabadan Lab applying data mining techniques to identify new associations for rare diseases.

Tamar Sery
Tamar Sery Amster is a software engineer at Bloomberg. She received her B.Sc. in Chemistry and Computer Science from Hebrew University in Jerusalem. She worked as a programmer in the Roichman lab at Tel Aviv University, applying image-processing techniques to study the process of wetting of surfaces. Later she worked in the Yitzchaik lab (Hebrew University), applying experimental polymerization and hydrosilylation techniques, as part of a team trying to develop better solar cells. In the Rabadan Lab, Tamar worked on a machine-learning project trying to predict drug sensitivity based on genomic and pharmaceutical data.

Judith Kribelbauer
Judith Kribelbauer is a PhD student in the Integrated Program (C2B2 track) at Columbia. In 2012, she received her bachelor degree in Chemistry from the University of Heidelberg with a focus in theoretical and biological chemistry. Before starting the PhD-program at Columbia, she did a research year in Dr. Weeks lab at UNC-Chapel Hill working on structural alterations of HIV-RNA using next-generation sequencing.

Santiago Vilar
Santiago Vilar received his Ph.D. from the Laboratory of Pharmaceutical Chemistry at the University of Santiago de Compostela, Spain, in 2006. The following year, he was awarded a grant to work in molecular docking at the University of Padova, Italy. In 2008 Santiago began a two-year postdoctoral fellowship working in the Laboratory of Biological Modeling at the National Institutes of Health (NIH) in Bethesda, Maryland. His research interests span different methodologies in computational chemistry, such as QSAR/QSPR in small molecules and proteins, and molecular modeling applied to structure-based drug discovery and explanations of biomolecular mechanisms of action.

Miguel Brown
Miguel Brown is a bioinformatics programmer at The University of Chicago School of Medicine. He graduated from the University of Rochester in 2004 with a B.A. in biology. He has worked as a researcher at the University of Rochester, Ortho-Clinical Diagnostics, the Rabadan Lab, and the Tuschl Lab at Rockefeller University.

Alexander Solovyov
Alexander Solovyov is postdoctoral fellow at the Icahn School of Medicine at Mount Sinai. Previously, he was an Associate Research Scientist working in the Ian Lipkin group at the Center for Infection and Immunity and the NorthEast Biodefense Institute. He received his Ph.D. in physics from Princeton University in 2009. His interests include phylogenetic methods, next generation sequencing technologies, evolutionary models and data clustering algorithms as they apply to the study of the evolution and the discovery of new viruses.

Kripa Sivakumar
Kripa Sivakumar is software engineer at Amazon. He received a master's degree in the Department of Computer Science at Columbia University. In the Rabadan Lab, he collaborated with Joseph Chan on identifying somatic mutations related to tumor progression. In particular, he worked on inflammatory breast cancer, glioblastoma multiforme and melanoma.

Brendan Kelly
Brendan Kelly is currently a practicing physician. He received his M.D. from the Columbia University College of Physicians and Surgeons in 2007. He completed his residency in the Department of Internal Medicine at New York Presbyterian Hospital and did a fellowship at the University of Pennsylvania.

Mrinalini Gururaj
Mrinalini "Mini" Gururaj graduated from Bangalore University in 2007 with a master's in biotechnology. As part of her master’s thesis, she co-authored a paper on computational drug discovery for alternative herbal remedies for tuberculosis, which was published in the Journal of Biomolecular Structure and Dynamics. In 2011 she got her master's from Columbia University in biotechnology. Her master's thesis was entitled "DNA Transfection Methods for Mammalian Cells."

Richard Wolff
Richard Wolff is a graduate of Columbia University with a degree in mathematics and significant coursework in computer science. He goes by Ricky, and in his free time enjoys playing the guitar. He hopes one day to use his background in pure math to approach problems in medicine in new and fundamental ways.

Samuel Resnick
Sam Resnick is an MD/PhD student at Columbia University College of Physicians and Surgeons. He graduated with a BS in Biology from the University of North Carolina at Chapel Hill in 2015. Previously, he studied how different chromatin remodeling complexes impact transcriptional regulation and contribute to tumorigenesis.

Kyle Bolo
Kyle graduated from Williams College in 2013 with a B.A. in mathematics. For two years, after graduating, he worked on software for Emergency Departments and coordinated a support team as a technical engineer at Epic, the electronic health record company. He is currently an MD student at Columbia University's College of Physicians and Surgeons. He investigates intra-host HIV recombination using topological data analysis.

David Gu
David is a second-year M.D. student at Columbia University College of Physicians and Surgeons. He graduated from Columbia University in 2012 with a B.S. in Operations Research, and he spent several years working in finance prior to matriculation. His current interests are in genomics and cancer evolution.

Nikhil Bommakanti
Nikhil is an MD student at Columbia University College of Physicians and Surgeons. He graduated from the University of Illinois at Chicago with a BS in Bioengineering then deferred entry to P&S to spend one year at the University of Oxford on a Whitaker Fellow Grant. Nikhil is working on a project on long noncoding RNA in pancreatic cancer with the support of an NIH T35 training grant.

Kernyu Park
Kernyu Park is currently an MA candidate in the department of biomedical informatics (DBMI) at Columbia. He received his BA in Biology from Columbia University in 2016. He has worked on cleaning genome variant data of cancer patients to better predict the correlation between the variants and cancer genes and is now interested in translational analysis of NGS whole genome sequencing data for infectious diseases.

Zikai Wu
Zikai Wu is a visiting associate research scientist, studying precision medicine in the Department of Biomedical Informatics at Columbia University. He received his Ph.D. in Operations Research and Cybernetics from Dalian University of Technology, China. He is an associate professor of University of Shanghai for Science and Technology, China. His current work is focusing on developing computational methods to study gene-drug interaction. Zikai joined Dr. Rabadan's group in September 2016.

Anthea Monod
Anthea Monod is a mathematical statistician whose primary research interests are theoretical topological data analysis and applications to computational biology. She is the PI on a 2016 Pilot Award from the Center for Topology of Cancer Evolution and Heterogeneity for research on radiogenomics and collaborates with the Samsung Medical Center on applications to glioblastoma multiforme. Prior to visiting the Rabadan Lab, she was faculty at Duke University from 2014-2016, and a postdoctoral scientist at the Technion–Israel Institute of Technology from 2012-2014. She received her PhD in Mathematics from the Swiss Federal Institute of Technology in Lausanne (EPFL).

Ian Huang
Ian is an undergraduate student at Columbia University, double majoring in computer science and financial economics. His past research has been focused on machine learning applied to the classification of heart transplant rejection severity within medical images. Now he is working on finding the relationship between noncoding and coding RNA genes in pancreatic cancer. He is also part of the Columbia Organization of Rising Entrepreneurs (CORE) and the Columbia University Medical Informatics Society, and enjoys playing violin and watching Netflix in his free time.

Sophie Thuault-Restituito
Sophie Thuault-Restituito received her doctorate in pharmacy and her PhD in neuroscience from the University of Montpellier, France. She later completed a postdoc in the laboratory of Steve Moss at University College London, and then worked as a research associate scientist and research assistant professor in the Department of Biochemistry and later in the Department of Neuroscience and Physiology at the New York University Langone Medical Center. She moved to an administrative position at NYU in 2013 and became research operation manager for the Medical Science Building and then director of research laboratory operation and utilization at Langone. As executive director and scientific operation manager for the Columbia University Center for Topology of Cancer Evolution and Heterogeneity, Sophie combines her expertise in experimental biology and management to oversee the administration of the Physical Sciences-Oncology center and other NIH- and foundation-supported grants.

Luis Arnes
Luis Arnes is an associate professor at the The Novo Nordisk Foundation Center for Stem Cell Biology (DanStem) at the University of Copenhagen. He received his PhD from the Department of Genetics and Cell Biology at the school of Biological Science at the Autonomous University in Spain in 2009. After graduation, he joined the laboratory of Dr. Lori Sussel in the Department of Genetics and Development at Columbia University to study the gene regulatory network that regulates pancreas development and maintenance of terminally differentiated endocrine lineages. He received extensive training in molecular biology and mouse genetics. In 2016, he joined the Rabadan laboratory and worked on integrating genome wide data and experimental validation to identify novel regulators of tumor progression with emphasis in signaling pathways required in development and aberrantly reactivated in tumorigenesis. · homepage

Irina Sagalovskiy
Irina Sagalovskiy is a Research Associate in the Department of Biomedical Informatics. She received her Ph.D. in Molecular Biology from Russian Academy of Sciences in 2006, studying immunology of cancer. She did her postdoctoral research at the Hospital for Special Surgery looking for new potential triggers of human autoimmune diseases. Irina joined Rabadan’s lab in January 2017, and her current research is focused on the role of non-coding RNAs in cancer.

Pingzhang Wang
Pingzhang Wang is a visiting associate research scientist. In 2011, he received his Ph.D. in Immunology from the Department of Immunology, Peking Univerity Health Science Center. He is also an associate professor of the department. His research interest focuses on omic big data-driven knowledge discovery (BD2K) in immunology and cancer fields. In Jan. 2017, Pingzhang joined Dr. Rabadan's group. Currently, he works on multiple omic data mining to address gene regulatory mechanisms in immune cells, and also in cancers.

Monika Francsics
Monika is an undergraduate at Columbia University pursuing a B.A. in computer science and mathematics. She is interested in algebraic topology and big data analytics techniques. At the Rabadan Lab, she is studying bacterial and viral interactions in the human microbiome and their role in infection using topological data analysis.

Baihan Lin
Baihan Lin is pursuing PhD in Computational & Systems Biology at Columbia University. He graduated from the University of Washington (UW) in 2017 in Computational Neuroscience Program with B.S. in Applied & Computational Mathematics and B.A. in Psychology with Honors. Before attending Columbia, he researched on various interesting problems spanning vision neuroscience, mathematical biology, genome sciences, protein design, and human-computer interaction. Industry-wise, he maintains close collaborations with IBM Research on artificial intelligence and Microsoft Research on computational neuroscience. His major theoretical research interest lies in the intersection between geometric topology, Bayesian machine learning, dynamical/evolutionary systems and network inference, with extensive application interests in multiscale biological systems and networks, especially in genomics and neuroscience.

Amanda Zong
Amanda Zong is an undergraduate at Columbia in the Class of 2021. She is planning to major in computer science and is interested in the application of computational tools to diagnose diseases. This summer at the Rabadan lab, she will be working on TOBI, a computational model that identifies oncogenic mutations in bladder carcinomas, and will strive to improve its accuracy and performance.

Morgan Goetz
Morgan Goetz is a rising senior at the University of North Carolina at Chapel Hill majoring in Biomedical Engineering. She is working in the Rabadan Lab this summer as a part of the 2018 National Cancer Institute Systems Biology and Physical Sciences Summer Research Program. Morgan’s work is focused on building a model to predict the immune response to anti-PD1 therapy in Glioblastoma patents.

Rose Orenbuch
Rose Orenbuch is a senior at Columbia University, where she is majoring in Information Science with a concentration in biology and neuroscience. She is investigating associations between genetics and immune response during viral infections, using genomic data. Furthermore, she is developing an application for genotyping highly polymorphic regions using standard RNA sequencing reads.