Student Leadership
Student Chairs
- Diversity, Equity, and Inclusion Chair: Kevin Jin (Steven Kleinstein)
- Outreach Chair: Lucy Zheng (Hoon Cho)
- Peer Mentorship Chair: Jessica Kasamoto (Robert McDougal)
- Social Chair: Jake Sumner (Jeffrey Townsend)
Student Government
- GSA Representative(s): Jessica Graham
Jump to: 2025, 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015,2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002
* denotes December graduates
2025
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2024
Advisers: Hua Xu, Qingyu Chen
Advisers: Mark Iscoe, Daniella Meeker
Adviser: Corey O’Hern
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Adviser: Jeffrey Townsend
Adviser: Jeffrey Townsend
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Adviser: Steven Kleinstein
Advisers: David Braun, Steven Kleinstein
Advisers: Joel Gelernter, Hua Xu
2023
Adviser: Cynthia Brandt
Adviser: John Tsang
Adviser: Hua Xu
Adviser: Nenad Sestan
Adviser: Damon Clark
Adviser: Lucila Ohno-Machado
Advisers: Hoon Cho, Kurt Schalper
2022
Adviser: Sidi Chen
Adviser: Albert Higgins-Chen
Adviser: David Braun
Adviser: John Tsang
Advisers: Naftali Kaminski, Xiting Yan
Advisers: Yuval Kluger, Rong Fan
Adviser: Hongyu Zhao
Adviser: Yuval Kluger
Adviser: Steven Kleinstein
Advisers: Mark Gerstein, Jeff Brock
Adviser: Mark Gerstein
Adviser: Mark Gerstein
2021
Adviser: Rohan Khera
Advisers: Yuval Kluger, Richard Flavell
Adviser: Mark Gerstein
Adviser: Mark Gerstein
Adviser: Mark Gerstein
Advisers: Yuval Kluger, Rong Fan
Adviser: Steven Kleinstein
Adviser: Monkol Lek
Adviser: Mark Gerstein
Adviser: Ted Melnick
“Computational methods for insights from HER data: improving provider productivity and applications to patient outcomes”
Adviser: Yuval Kluger
Adviser: Corey O’Hern
Advisers: Mark Gerstein, Harlan Krumholz
Advisers: Mark Gerstein, Jun Lu
2020
Adviser: Wade Schulz
“Graph Networks and Quantum AI/ML for Real-World Evidence Generation”
Adviser: Steven Kleinstein
Adviser: Mark Gerstein
“A Multi-modal Approach to Precision Medicine: Bridging the Gap Between Genetics and Disease Using Genomics and Biosensors”
Adviser: Frederick Altice
Adviser: Albert Higgins-Chen
“Translating Geroscience to Clinic - Using ML for Insightful and Responsive Aging Biomarkers”
Adviser: Mark Gerstein
2019
Adviser: Steven Kleinstein
“Supervised Integration of Multi-Omics Immune Profiles via Latent Factor Modeling”
Adviser: Yuval Kluger
Adviser: Albert Higgins-Chen
“Decoding the Aging Mosaic: Omic Biomarkers for Age-Related Disorders”
Adviser: Mark Gerstein
“Biomedical Privacy and Security: Histology Image Vulnerabilities and Blockchain Solutions”
Adviser: Cynthia Brandt
“On Uncertainty Quantification and Bayesian Reasoning in Clinical Applications of Large Language Models”
Adviser: Smita Krishnaswamy
“Geometric representation learning toward insights into cellular and molecular behavior”
Advisers: Steven Kleinstein, Yuval Kluger
“Learning Embeddings from Adaptive Immune Receptor Sequences”
Adviser: Yuval Kluger
“Interpretable and Data-driven Machine Learning Models for Analyzing High-dimensional Biological Data”
Adviser: Hongyu Zhao
“Dissecting the Impact of Clonal Hematopoiesis on age-related disease”
Adviser: Hongyu Zhao
“Characterizing Neurodegenerative Disorders from Multi-Omics Perspectives”
2018
Adviser: Steven Kleinstein
Adviser: Smita Krishnaswamy
“Learning Data-Driven Representations for Biomolecular Analysis, Optimization, and Design”
Adviser: Harlan Krumholz
“Next Generation Phenotyping in Clinical Trial based on Real-World Data”
Adviser: Corey O’Hern
“Investigating the Connection Between Protein Folding, Polymer Collapse and Jamming”
Adviser: Jeffrey Townsend
“Inference of Somatic Selection in Cancer: Methods and Applications”
Adviser: Morgan Levine
“A Peak Through the Noise: Capturing Biological Heterogeneity in Aging with Our Machine Learning Toolkit”
2017
Adviser: Robert McDougal
Adviser: Jeffrey Townsend
“Computational and Evolutionary Approaches for Translational Cancer Research”
Adviser: Mark Gerstein
“Multi-scale gene regulation analysis with ChIP-seq and beyond”
Adviser: Smita Krishnaswamy
“Diffusion-based approaches to visualization and exploration of high-dimensional data”
Advisers: Gunter Wagner, Benjamin Machta
“Parkour in Protein Morphospace”
Adviser: Mark Gerstein
“Learning latent representations for biological molecules & their properties”
Adviser: Hongyu Zhao
“Leverage eQTLs to Understand Genetic Etiology of Human Diseases”
Advisers: Yuval Kluger, Richard Flavell
“Deriving Cell and Gene Dynamics from Single-cell Omics Data”
Adviser: Hongyu Zhao
“Making the Most of Polygenic Risk Scores (PRS): Risk Decompositions, Cross-Population Predictions, and Clinical Applications”
Adviser: Hongyu Zhao
“Statistical Methods for Genetic Prediction of Complex Traits in Single and Multiple Populations”
2016
Advisers: Cynthia Brandt, Hongyu Zhao
“Natural language processing and graph representation learning for clinical data”
Adviser: Mark Gerstein
“Network Approaches to the Study of Genomic Variation in Cancer”
Adviser: Smita Krishnaswamy
“Geometric Data Organization: Algorithms and Applications”
Adviser: Hongyu Zhao
“Identification of Genetic Implications in Psychiatric Disorders”
Adviser: Hongyu Zhao
“Leveraging Omics Data for Better Treatment: Computational Methods for Biomarker Identification, Drug Repositioning, and Polypharmacy Risk Assessment”
2015
Adviser: Steven Kleinstein
“Identifying immunological biomarkers in massive public data”
Adviser: Hongyu Zhao
“Integrative Analysis of Neuroimaging, Cognitive Functions and Genetics Data”
Adviser: Cynthia Brandt
“Machine Learning with Multimodal Data”
Adviser: Steven Kleinstein
“B Cell Clonal Lineage and Somatic Hypermutation Profiling Analysis”
2014
Adviser: Mark Gerstein
“Leveraging Functional Genomic Data: Modeling Transcriptional Dynamics and Interpreting Disease Genomes”
Advisers: Mark Gerstein, Lajos Pusztai
“Clinical and Translational Cancer Research by Genomics and Transcriptomics Data Analysis”
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“Picking Targets: Exploring Genomic Biomarkers of Breast Cancer Across Trials, Treatments, and Tissues”
Advisers: Yuval Kluger, Richard Flavell
“Computational Methods for Single Cell RNA Sequencing Analysis”
2013
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“Computational Studies of Protein Structure”
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“A Transferable Framework for Large-Scale Genome Annotation with Applications in Disease Studies”
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“Computational modeling of immune cells during tumor development using the deformable particle model”
2012
Adviser: Steven Kleinstein
“A Systems Approach to Understanding Influenza Infection and Vaccination Responses”
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“Computational Methods for Plant Population Genomics”
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“Two Novel Algorithms for Extracting Patient Specific Information from Tumor Biopsies”
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“Mining Large-scale Sequencing Reads to Learn Mutational Processes”
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“Mathematical modeling and data analysis in cell type evolutionary studies”
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“Volume- and Cell-Cycle-Aware Stochastic Modeling of Gene Networks”
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“Statistical Methods of post-GWAS analysis incorporating multiple phenotypes, transcriptome variations, and biological networks”
2011
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“Statistical and computational methods on GWAS and post-GWAS analysis to identify genetic basis of intracranial aneurysm”
Adviser: Steven Kleinstein
“Computational Identification of B Cell Clones in High-Throughput Immunoglobulin Sequencing Data”
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“Beyond GWAS: Translating the Genetics of Crohn’s Disease”
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“Statistical and computational methods for integrative analysis in cancer genomics”
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“Advanced Information Retrieval and Extraction in Research and Clinical Settings”
Adviser: Steven Kleinstein
“Computation Methods for the Analysis of B Cell Repertoires and Application to Human Autoimmunity”
2010
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“Variant Interpretation in Personal Genomes using Repeat Protein Sequences, Networks and Allele-Specific Analyses”
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“Computational Methods for Estimating Functional Consequences of Genetic Variants and Application to Cancer Genomics”
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“Some statistical methods on analyzing gene expression and DNA sequencing data towards detection and interpretation of cancer biomarkers”
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“Some statistical methods for joint analysis of high dimensional genomics data”
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“Some statistical methods for spatial-temporal brain gene expression data”
2009
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“Some Statistical Methods for Integrative Analysis in Epigenetics and Cancer Genomics”
Adviser: Steven Kleinstein
“Computational discovery of immunoglobulin genotypes from high-throughput B-cell receptor sequencing data”
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“Kernel Methods and Semantic Techniques for Clinical Text Classification”
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“Using Semantic Web Tools to Create an Integrated Framework for Biomedical Research”
2008
Adviser: Steven Kleinstein
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“Computational analysis of blood transcriptional signatures in the study of HCV susceptibility, infection, and therapy response”
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“Statistical Modeling of Next Generation Sequence Data”
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“Studying the Evolution of Gene Regulation Using Next-Generation Sequencing (Computational Methods and Data Integration”
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“LARVA—an Integrative Framework for Large-scale Analysis of Recurrent Variants in Noncoding Annotations—and Other Tools”
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“Statistical Modeling for Pathway-based Drug Target Discovery”
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“Harmonic analysis of ChIP-seq”
2007
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“Elucidating Transcriptional Regulation Using High-Throughput Sequencing, Data Integration, and Computational Methods”
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“Computational Methodologies for Transcript Analysis in the Age of Next-Generation DNA Sequencing”
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“A Computational Genomics Study (Characterizing Genomic Variants in Non-coding Regions of the Human Genome”
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“A Multivariate Computational Framework to Identify Genomic Biomarkers in Cancer”
2006
Adviser: Steven Kleinstein
“Computational Modeling of Genome-Wide Mutation by AID”
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“Building Risk Prediction Model for Complex Genetic Disease Using High Dimensional Genetic Data”
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“Piecewise Constant Estimation (Extensions of PartDSA and Applications to Cancer and Epidemiological Studies”
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“Overcoming Complexity in Systems Biology Modeling and Simulation”
Adviser: Steven Kleinstein
“Computational Methods for Detecting Antigen-Driven Selection in Ig Sequences”
2005
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“Computational Analysis on Genomic Variation (Detecting and Characterizing Structural Variants in the Human Genome”
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“Improving Biomedical Information Retrieval Using Term Identification and Concurrent Image and Text Processing”
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“Integrating Genomic and Kinetic Data to Elucidate Mechanisms of Alcohol Dependence”
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“Predicting drug response and function using sub-structure analysis”
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“Computational Analysis on Biological Networks: Measuring Evolutionary Rewiring & Predicting Regulatory Relationship”
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“Towards Intelligent Integration of Information from High-Throughput Studies of Human Genomes”
2004
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“Integration of Genomic Data to Identify Genes and Pathways Associated with Disease”
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“High-dimensional Gene expression Classification and genome-wide association Studies of Complex Traits”
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“Semi-automated Model Building for RNA Crystallography (A Directed Rotameric Approach to Building the RNA Backbone)”
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“Translational Epigenetics (Applications of High-Throughput Genomic Technologies for Melanoma Diagnostics and Treatment)”
2003
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“Informatics Approaches to Translational Research (Management and Analysis of Clinical and High Density Genomic Data)”
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“Mining Biological Complexity (Cross Integration of Large-Scale Metagenomics, Environmental, and Chemical Datasets)”
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“High-throughput Methods in Computer-aided Drug Design Pertaining to Flexibility, Selectivity and Lipophilicity”
2002
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“Genomic Studies on Nuclear Receptor-Mediated Transcriptional Networks in Breast Cancer Cells”
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“Statistical Modeling of Biological Interactions in Eukaryotes using Genomics and Proteomics Data”
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“Tiling Microarray Informatics”
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“Mapping Regulatory Networks Using Genomic and Proteomic Approaches”
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