Group Members

Join Us
<a href=Marinka Zitnik" />

Marinka Zitnik

Assistant Professor

<a href=Ada Fang" />

Ada Fang

PhD Student

<a href=Kevin Li" />

Kevin Li

PhD Student

<a href=Michelle M. Li" />

Michelle M. Li

PhD Student

<a href=Robert Calef" />

Robert Calef

PhD Student

<a href=Yasha Ektefaie" />

Yasha Ektefaie

PhD Student

<a href=Valentina Giunchiglia" />

Valentina Giunchiglia

PhD Student
Imperial College London

<a href=Yepeng Huang" />

Yepeng Huang

PhD Student

<a href=George Dasoulas" />

George Dasoulas

Postdoctoral Fellow
Harvard Data Science Fellow

<a href=Jason Poulos" />

Jason Poulos

Postdoctoral Fellow
Brigham and Women's Hospital

<a href=Jonathan Richard Schwarz" />

Jonathan Richard Schwarz

Postdoctoral Fellow

<a href=Zhenglun Kong" />

Zhenglun Kong

Postdoctoral Fellow

<a href=Ruth Johnson" />

Ruth Johnson

Postdoctoral Fellow
Harvard Berkowitz Fellow

<a href=Shanghua Gao" />

Shanghua Gao

Postdoctoral Fellow

<a href=Wanxiang Shen" />

Wanxiang Shen

Postdoctoral Fellow

<a href=Xiang Lin" />

Xiang Lin

Postdoctoral Fellow

<a href=Xiaorui Su" />

Xiaorui Su

Postdoctoral Fellow

<a href=Intae Moon" />

Intae Moon

Postdoctoral Fellow

<a href=Owen Queen" />

Owen Queen

Research Associate

<a href=Alejandro Velez Arce" />

Alejandro Velez Arce

Research Associate

<a href=Pengwei Sui" />

Pengwei Sui

Research Associate

<a href=Zaixi Zhang" />

Zaixi Zhang

Visiting PhD Student

<a href=Andrew Shen" />

Andrew Shen

Graduate Researcher

<a href=Michelle Dai" />

Michelle Dai

Graduate Researcher

<a href=Kushan Weerakoon" />

Kushan Weerakoon

Undergraduate Researcher

<a href=Ivy Liang" />

Ivy Liang

Undergraduate Researcher

<a href=Ayush Noori" />

Ayush Noori

Undergraduate Researcher

Lab alumni

  • Varun Ullanat (HMS)
  • Tianlong Chen (Postdoctoral Fellow → Assistant Professor, University of North Carolina at Chapel Hill)
  • Guadalupe Gonzalez (Visiting PhD Student → Research Scientist, Prescient Design, Genentech, Roche)
  • Tom Cobley (Undergraduate Researcher → Machine Learning Engineer, Google DeepMind)
  • Ziyuan Zhao (Undergraduate Researcher → Systems Biology PhD Student, Harvard Medical School)
  • Nicholas Ho (Undergraduate Researcher → Computer Science PhD Student, Carnegie Mellon University)
  • Yepeng Huang (Graduate Researcher at Harvard Chan → Biological and Medical Sciences PhD Student, Harvard Medical School)
  • Marissa Sumathipala (Undergraduate Researcher at Harvard College; Gates Cambridge Scholarship; Churchill Scholarship; Cambridge University → Neuroscience PhD Student, Harvard University)
  • Julia Balla (Undergraduate Researcher at MIT → Computer Science PhD Student, MIT)
  • Jiali Cheng (Undergraduate Researcher → Computer Science PhD Student, UMass Lowell)
  • Isuru Herath (Undergraduate Researcher → Data Scientist, Merck)
  • Jean-Guillaume Brasier (Harvard IACS Graduate Student → Data Scientist, Moderna)
  • Marie Zhang (HMS)
  • Man Qing Liang (HMS → Data Scientist, Dandelion)
  • Payal Chandak (Undergraduate Researcher → Harvard-MIT HST PhD Student, Harvard University & MIT)
  • Xiang Zhang (Postdoctoral Fellow → Assistant Professor, UNC Charlotte)
  • Chirag Agarwal (Postdoctoral Fellow, HMS → Assistant Professor, University of Virginia)
  • Josh Pan (Postdoctoral Fellow, Broad Institute → Research Scientist, DeepMind)
  • Michelle Lu (Harvard College)
  • Raunak Chowdhuri (MIT)
  • Marie Zhang (HMS)
  • Satvik Tripathi (Undergraduate Researcher, Drexel University)
  • Varun Tekur (Undergraduate Researcher)
  • Lydia Fozo (Undergraduate Researcher, Johns Hopkins University)
  • Kexin Huang (Harvard Chan → Computer Science PhD Student, Stanford University)
  • Haoxin Li (Harvard Chan)
  • Yucong Lin (Harvard Chan → Beijing Institute of Technology)
  • Mert Erden (Tufts University)
  • Jingyi Liu (HMS)
  • Yujie Shao (HMS)
  • Stone Chen (HMS)
  • Kathleen Sucipto (HMS)
  • Min Jean Cho (Undergraduate Researcher, Brown University)

Latest News

Jul 2024:   Digital Twins as Global Health and Disease Models of Individuals

Paper on digitial twins outlining strategies to leverage molecular and computational techniques to construct dynamic digital twins on the scale of populations to individuals.

Jul 2024:   Three Papers: TrialBench, 3D Structure Design, LLM Editing

Jun 2024:   TDC-2: Multimodal Foundation for Therapeutics

The Commons 2.0 (TDC-2) is an overhaul of Therapeutic Data Commons to catalyze research in multimodal models for drug discovery by unifying single-cell biology of diseases, biochemistry of molecules, and effects of drugs through multimodal datasets, AI-powered API endpoints, new tasks and benchmarks. Our paper.

May 2024:   Broad MIA: Protein Language Models

Apr 2024:   Biomedical AI Agents

Mar 2024:   Efficient ML Seminar Series

We started a Harvard University Efficient ML Seminar Series. Congrats to Jonathan for spearheading this initiative. Harvard Magazine covered the first meeting focusing on LLMs.

Mar 2024:   UniTS - Unified Time Series Model

UniTS is a unified time series model that can process classification, forecasting, anomaly detection and imputation tasks within a single model with no task-specific modules. UniTS has zero-shot, few-shot, and prompt learning capabilities. Project website.

Mar 2024:   Weintraub Graduate Student Award

Michelle receives the 2024 Harold M. Weintraub Graduate Student Award. The award recognizes exceptional achievement in graduate studies in biological sciences. News Story. Congratulations!

Mar 2024:   PocketGen - Generating Full-Atom Ligand-Binding Protein Pockets

PocketGen is a deep generative model that generates residue sequence and full-atom structure of protein pockets, maximizing binding to ligands. Project website.

Feb 2024:   SPECTRA - Generalizability of Molecular AI

Feb 2024:   Kaneb Fellowship Award

The lab receives the John and Virginia Kaneb Fellowship Award at Harvard Medical School to enhance research progress in the lab.

Feb 2024:   NSF CAREER Award

The lab receives the NSF CAREER Award for our research in geometric deep learning to facilitate algorithmic and scientific advances in therapeutics.

Feb 2024:   Dean’s Innovation Award in AI

Jan 2024:   AI's Prospects in Nature Machine Intelligence

We discussed AI’s 2024 prospects with Nature Machine Intelligence, covering LLM progress, multimodal AI, multi-task agents, and how to bridge the digital divide across communities and world regions.

Jan 2024:   Combinatorial Therapeutic Perturbations

New paper introducing PDGrapher for combinatorial prediction of chemical and genetic perturbations using causally-inspired neural networks.

Nov 2023:   Next Generation of Therapeutics Commons

Oct 2023:   Structure-Based Drug Design

Geometric deep learning has emerged as a valuable tool for structure-based drug design, to generate and refine biomolecules by leveraging detailed three-dimensional geometric and molecular interaction information.

Oct 2023:   Graph AI in Medicine

Graph AI models in medicine integrate diverse data modalities through pre-training, facilitate interactive feedback loops, and foster human-AI collaboration, paving the way to clinically meaningful predictions.

Zitnik Lab  ·  Artificial Intelligence in Medicine and Science  ·  Harvard  ·  Department of Biomedical Informatics