Meghana Kamineni

Co-mentored medical student with Dr. Pradeep Natarajan

Bio: Meghana is a medical student at Harvard Medical School. She is working on using machine learning techniques to identify splenic features in abdominal MRIs that are associated with increased risk for coronary artery disease. She holds a bachelor’s degree in Computer Science from MIT.

Xinyu Wang

Co-mentored graduate student with Dr. Ed Giovannucci (master’s thesis advisor)

Bio: Xinyu is currently a master’s student in Department of Epidemiology, Harvard T.H. Chan School of Public Health. Her research focuses on integrating multi-omics data to explore the underlying mechanisms of cancers and cardiometabolic diseases. She is also passionate about translating epidemiological findings into clinical practice. She holds dual bachelor’s degrees in Medicine and Economics from Peking University.

Yixuan (Kathy) Liu

Co-mentored graduate student with Dr. Michael Honigberg (master’s thesis advisor)

Bio: Kathy is a master’s student in Department of Biostatistics, Computational Biology and Quantitative Genetics, Harvard T.H. Chan School of Public Health. Her research leverages multi-omics approaches to investigate proteomic profiles and methylation patterns associated with somatic mutations in clonal hematopoiesis of indeterminate potential (CHIP) and cardiovascular disease (CVD). She holds a dual degree in Molecular Bioscience, Genetics and Genomics from Duke Kunshan University and Duke University.

Linke Li

Computational associate jointly with Dr. Michael Honigberg

Bio: Linke Li holds a Master’s degree in Biostatistics from Duke University. Her research focuses on integrating deep learning methodologies into statistical genetics to enhance disease risk prediction and identify at-risk populations. She is interested in comparing the disease prediction capabilities of deep learning methods with traditional approaches like genome-wide association studies (GWAS) and polygenic risk scores (PRS). By identifying novel genetic variations, she aims to improve risk prediction models and contribute to preventive healthcare for disease.

Yiru “Angelina” Jin

Co-mentored undergrad student with Dr. Vineet Raghu

Bio: Angelina is a sophomore at Boston University majoring in Biochemistry and Molecular Biology on a pre-dental track. She is currently studying the effects of environmental and nutritional stress on the mitochondrial pathway. Moving forward, she hopes to expand her knowledge of computational biology and explore machine learning techniques to enhance data analysis in biological research.

Antony Tan

Graduate student (master’s thesis advisor)

Bio: Antony is a master’s student in Computational Biology and Quantitative Genetics at Harvard. His research applies machine learning to large-scale proteomics for enhancing interpretation and cross-platform harmonization. He is broadly interested in representation learning that links molecular data to clinical/medical outcomes. He previously developed transformer models for astronomical time-series analysis, resulting in a NeurIPS ML4PS publication, and holds a bachelor’s degree in Computer Science from the University of Toronto.

Cuiqiyun (Linda) Yang

Graduate student (master’s thesis advisor)

Bio: Linda is a master’s student in the Department of Biostatistics, Computational Biology and Quantitative Genetics, Harvard T.H. Chan School of Public Health. Her research focuses on developing and leveraging LLM and multi-omics approaches for cancer characterization. She holds a dual degree in Molecular Bioscience, Genetics and Genomics from Duke Kunshan University and Duke University.

Xueting (Christina) Wang

Co-mentored graduate student with Dr. Aniruddh Patel

Bio: Christina is a Biostatistics Master’s candidate at the Harvard T.H. Chan School of Public Health. Her research integrates machine learning with medical imaging to identify organ-specific biomarkers and quantify their relationship to disease risk. She graduated from the University of North Carolina at Chapel Hill with a Bachelor’s degree in Biostatistics and Mathematics.

Qiayi Zha

Graduate student (master’s thesis advisor)

Bio: Qiayi is a Master’s student in the CBQG program at Harvard T.H. Chan School of Public Health. With a computational background, she is curious about the mechanisms underlying genetics, proteomics, and human biological systems. She is interested in figuring out the logic of gene regulation, protein interactions, and cellular dynamics, and translating these biological principles into computational frameworks.

Yushu Huang

Co-mentored visiting Ph.D. student with Dr. Wenjie Ma

Bio: Yushu is currently a Ph.D. student in Big Data Health Science at Zhejiang University. Her research focuses on leveraging multimodal data to estimate biological aging, with particular interests in its determinants and subsequent clinical outcomes.

Haodong Tian

Co-mentored postdoctoral fellow with Dr. Pradeep Natarajan and Dr. Jordan Smoller

Bio: Haodong is a postdoctoral researcher at the Broad Institute. His research focuses on developing and applying statistical and computational methods, particularly in genetic causal inference, and integrating large-scale, multi-source data to better understand disease mechanisms and advance precision medicine and drug discovery. He holds a PhD in Biostatistics from the University of Cambridge.

Mengyu Zhang

Postdoctoral fellow

Bio: Mengyu is a Research Fellow at Massachusetts General Hospital. Her research focuses on developing statistical and computational methods for large-scale genetic association studies, with an emphasis on improving efficiency and accuracy in analyses of related individuals and diverse populations, and integrating multi-omics data to better understand the biological basis of complex diseases. She holds a PhD in Biostatistics from The University of Texas Health Science Center at Houston (UTHealth Houston) School of Public Health.

Md Mesbah Uddin

Research scientist jointly with Dr. Michael Honigberg (previously Dr. Pradeep Natarajan)

Bio: Mesbah is currently a research scientist at the Broad Institute. He is working on identifying clonal hematopoiesis (CH) in individuals, understanding the role of CH in epigenetic changes, and illustrating genetic determinants of CH. He is also contributing to the data production and analysis of the Somatic Mosaicism Across Human Tissues (SMaHT) consortium. His key research contributions in the lab include several co-authored publications (ORCID). Before joining the lab, Mesbah completed his PhD at Aarhus University (Denmark) and AgroParisTech (France), MS at King Abdulaziz University (Jeddah, Saudi Arabia), and BS at Khulna University (Khulna, Bangladesh).

Yuxuan Wang

Visiting scientist (primary position: postdoctoral fellow at Amgen mentored by Dr. Pradeep Natarajan)

Bio: Yuxuan is a visiting scientist at the Broad Institute. He aims to leverage advanced statistical and computational frameworks to investigate the genetic architecture of human diseases. Key research contributions include developing novel statistical methods for assessing the replicability of pleiotropic loci and leading large-scale genetic analyses for the Global Lipids Genetics Consortium and the TOPMed program. Yuxuan currently focuses on integrating human genetics with functional genomics approaches such as Perturb-Seq to connect evidence with cellular phenotypes and biological mechanisms. He completed his Ph.D. degree in Biostatistics at Boston University.

Lanyue Zhang

PhD thesis advisory committee member (advisor - Dr. Marios Georgakis)

Current: Ludwig Maximilian University of Munich

Wenxin Xiang

Co-mentored visiting Ph.D. student with Dr. Wenjie Ma (2025-2026)

Current: Ph.D. student in Biomedical Engineering, Tsinghua University

Past: Ph.D. student in Biomedical Engineering, Tsinghua University

Zhanqing (Anthea) Hua

Co-mentored graduate student with Dr. Vineet Raghu (master’s thesis advisor; 2024-2026)

Current: Ph.D. student in University Program in Genetics and Genomics (UPGG), Duke University School of Medicine

Past: Master student in Genetic Epidemiology, Harvard T.H Chan School of Public Health

Yuan Tian

Co-mentored graduate student with Dr. Junwei Lu (2025-2026)

Current: Computational Associate, Massachusetts General Hospital (Honigberg Lab)

Past: Master student in Biostatistics, Harvard T.H. Chan School of Public Health

Shengxin Liang

Co-mentored graduate student with Dr. Akl Fahed (master’s thesis advisor; 2024-2026)

Current: Ph.D. student in Cardiovascular Epidemiology Unit, University of Cambridge (Advisors: Drs. Michael Inouye and Sam Lambert)

Past: Master student in Pharmacoepidemiology, Harvard T.H. Chan School of Public Health

Cyril François

Visiting medical student (2025-2026)

Current: Master student in Medicine at KU Leuven University in Belgium

Past: Master student in Medicine at KU Leuven University in Belgium