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.
Mathieu Carrière is a Research Scientist in Nice, France. Previously, he was postdoctoral research scientist in the Department of Systems Biology. He received his PhD in Informatics from Inria and Université Paris Saclay in 2017. He is interested in the application of Topological Data Analysis in Machine Learning frameworks, with an emphasis on biological data. He is currently working on bootstrap methods for Mapper complexes computed on gene expression data, as well as predictive analysis of single cell Hi-C contact maps through persistence diagrams.
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.
Zhaoqi Liu is a Professor and Principle Investigator in CAS Key Laboratory of Genomic and Precision Medicine in the Beijing Institue of Genomics. In the Rabadan Lab, he was an associate research scientist, studying cancer genomics in the Department of Biomedical Informatics at Columbia University. He received his Ph.D. in Applied Mathematics from the Academy of Mathematics and Systems Science, where he won the President's Scholarship prize. Zhaoqi joined Dr. Rabadan’s group in September 2015. His current work focuses on developing computational methods to analyze biological problems in cancer genomics.
Rachel Melamed is currently an Assistant Professor in the biology department at UMass Lowell. She was 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.
Wesley Tansey is a Principal Investigator in the Department of Epidemiology and Biostatistics at Memorial Sloan Kettering Cancer Center. His work focuses on machine learning and statistical modeling with applications to biological and medical questions in cancer. From 2017-2020, Wesley was a post-doctoral researcher in the Rabadan lab, where his work revolved around dose-response prediction and biomarker discovery in cancer drug studies. He received his Ph.D. in Computer Science from the University of Texas at Austin in 2017 with a focus on machine learning and computational statistics.
Pingzhang Wang is faculty in the Department of Immunology, School of Basic Medical Sciences and NHC Key Laboratory of Medical Immunology, Peking University. Previously, he was a visiting associate research scientist in the Rabadan Lab. 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.
Zikai Wu is faculty in the University of Shanghai for Science and Technology and Shanghai Key Laboratory of Intelligent Information Processing, Fudan University. Previously, he was 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.
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.
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.
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.
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.
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.
Francesco G. Brundu works as a Bioinformatics Scientist at Illumina. He received his B.S., M.S. and Ph.D. from the Polytechnic University of Turin, where he collaborated with the Candiolo Cancer Institute on the stratification of Colorectal Cancer using transcriptomics. In 2017, he joined the Rabadan lab as a postdoctoral research scientist, where his research focused on the design and application of single-cell RNA sequencing methodologies and analyses. His work involved contributions in the context of T-ALL, Intrahepatic Cholangiocarcinoma and, since 2019, on the characterization of the etiology of Schizophrenia.
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.
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.
Andrew Chen is an MD/PhD student at Columbia University. He received his PhD in 2020 from Columbia's Integrated Program in CMBS and a B.S. in Physics from MIT in 2015. His dissertation research in the Rabadan lab focused on spatial and genomic features of the glioblastoma tumor microenvironment.
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.
Oliver Elliott received his B.A. from Amherst College and his M.S. from Columbia University. In the Rabadan Lab, Oliver led the tech team. He also worked on pathogen discovery in high throughput sequencing data, transcriptome annotation, and identifying somatic variants in cancer.
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.
Ioan Filip works at Illumina as a Bioinformatics Scientist. Previously, he was an Associate Research Scientist in the Systems Biology Department, and a member of the Program for Mathematical Genomics. He received his Ph.D. in Mathematics from Columbia University in 2016. While he was at the Rabadan Lab, Ioan studied the genetic basis of the immune response to viral infections, as well as the role of the immune system in cancer progression and treatment. He is interested in further developing algebraic and topological methods to model both viral and tumor evolution.
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.
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.
Junwei received his BS in Biology with a focus in Bioinformatics from University of Pittsburg. Currently, he is a master student at Columbia University furthering his skills in bioinformatics and data science. His undergraduate research focused on viral tumorigenesis study and novel virus discovery. In the Rabadan Lab, he is investigating the association between EHR data and diseases, particularly the discovery of novel risk factors. He is also interested in developing and applying data-driven approaches for solving biological problems.
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."
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.
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.
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.
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.
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.
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.
Eric Minwei Liu
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.
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.
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.
Rong received his B.S in Biochemistry from McGill University in 2018. During his undergraduate, he focused on designing Sato Aptamers to enhance live-cell RNA imaging and improving genome-scale metabolic models with protein localization information. Currently, Rong is working on the analysis of non-coding mutations in acute lymphoblastic leukemia at the Rabadan Lab.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Zixuan received her B.Eng. from Wuhan University and her Master Degree from University of Pennsylvania. In the Rabadan Lab, she worked as the Data Analyst and specializes in data visualization, data mining and web mapping.
Malcolm Wells is a PhD student in the Department of Physics. He graduated from Columbia College with a BA in physics. His undergraduate research was in experimental condensed matter physics. Currently, Malcolm is working on methods for single-cell RNA seq.
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.
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.
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.
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.