Group Members

Join Us
<a href=Marinka Zitnik" />

Marinka Zitnik

Assistant Professor

<a href=Ada Fang" />

Ada Fang

PhD Student

<a href=Michelle M. Li" />

Michelle M. Li

PhD Student

<a href=Yasha Ektefaie" />

Yasha Ektefaie

PhD Student

<a href=Guadalupe Gonzalez" />

Guadalupe Gonzalez

PhD Student
Imperial College London

<a href=Valentina Giunchiglia" />

Valentina Giunchiglia

PhD Student
Imperial College London

<a href=George Dasoulas" />

George Dasoulas

Postdoctoral Fellow
Harvard Data Science Fellow

<a href=Huan He" />

Huan He

Postdoctoral Fellow

<a href=Ruth Johnson" />

Ruth Johnson

Postdoctoral Fellow
Harvard Berkowitz Fellow

<a href=Tianlong Chen" />

Tianlong Chen

Postdoctoral Fellow

<a href=Shen Wanxiang" />

Shen Wanxiang

Postdoctoral Fellow

<a href=Yepeng Huang" />

Yepeng Huang

Graduate Researcher

<a href=Tom Cobley" />

Tom Cobley

Graduate Researcher

<a href=Owen Queen" />

Owen Queen

Graduate Researcher

<a href=Diego Trujillo" />

Diego Trujillo

Graduate Researcher

<a href=Michelle Dai" />

Michelle Dai

Graduate Researcher

<a href=Jean-Guillaume Brasier" />

Jean-Guillaume Brasier

IACS Graduate Student

<a href=Varun Ullanat" />

Varun Ullanat

Graduate Researcher

<a href=Zaixi Zhang" />

Zaixi Zhang

Visiting Fellow

<a href=Isuru Herath" />

Isuru Herath

Visiting Fellow

<a href=Ayush Noori" />

Ayush Noori

Undergraduate Researcher

<a href=Ziyuan Zhao" />

Ziyuan Zhao

Undergraduate Researcher

Associate members

<a href=Chirag Agarwal" />

Chirag Agarwal

Research Scientist
Adobe Research

<a href=Xiang Zhang" />

Xiang Zhang

Assistant Professor
UNC Charlotte

<a href=Josh Pan" />

Josh Pan

Research Scientist

Lab alumni

  • 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)
  • 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, HMS → Assistant Professor, UNC Charlotte)
  • Chirag Agarwal (Postdoctoral Fellow, HMS → Research Scientist, Adobe Research)
  • 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

May 2023:   Congratulations to Ada and Michelle

Congrats to PhD student Michelle on being selected as the 2023 Albert J. Ryan Fellow and also to participate in the Heidelberg Laureate Forum. Congratulations to PhD student Ada for being selected as the Kempner Institute Graduate Fellow!

Apr 2023:   Universal Domain Adaptation at ICML 2023

New paper introducing the first model for closed-set and universal domain adaptation on time series accepted at ICML 2023. Raincoat addresses feature and label shifts and can detect private labels. Project website.

Apr 2023:   Celebrating Achievements of Our Undergrads

Undergraduate researchers Ziyuan, Nick, Yepeng, Jiali, Julia, and Marissa are moving onto their PhD research in Computer Science, Systems Biology, Neuroscience, and Biological & Medical Sciences at Harvard, MIT, Carnegie Mellon University, and UMass Lowell. We are excited for the bright future they created for themselves.

Apr 2023:   Welcoming a New Postdoctoral Fellow

An enthusiastic welcome to Tianlong Chen, our newly appointed postdoctoral fellow.

Apr 2023:   New Study in Nature Machine Intelligence

New paper in Nature Machine Intelligence introducing the blueprint for multimodal learning with graphs.

Mar 2023:   Precision Health in Nature Machine Intelligence

New paper with NASA in Nature Machine Intelligence on biomonitoring and precision health in deep space supported by artificial intelligence.

Mar 2023:   Self-Driving Labs in Nature Machine Intelligence

Mar 2023:   TxGNN - Zero-shot prediction of therapeutic use

Mar 2023:   GraphXAI published in Scientific Data

Feb 2023:   Welcoming New Postdoctoral Fellows

A warm welcome to postdoctoral fellows Wanxiang Shen and Ruth Johnson. Congratulations to Ruthie for being named a Berkowitz Fellow.

Feb 2023:   New Preprint on Distribution Shifts

Feb 2023:   PrimeKG published in Scientific Data

Jan 2023:   GNNDelete published at ICLR 2023

Jan 2023:   New Network Principle for Molecular Phenotypes

Dec 2022:   Can we shorten rare disease diagnostic odyssey?

New preprint! Geometric deep learning for diagnosing patients with rare genetic diseases. Implications for using deep learning on sparsely-labeled medical datasets. Thankful for this collaboration with Zak Lab. Project website.

Nov 2022:   Can AI transform the way we discover new drugs?

Our conversation with Harvard Medicine News highlights recent developments and new features in Therapeutics Data Commons.

Oct 2022:   New Paper in Nature Biomedical Engineering

New paper on graph representation learning in biomedicine and healthcare published in Nature Biomedical Engineering.

Sep 2022:   New Paper in Nature Chemical Biology

Our paper on artificial intelligence foundation for therapeutic science is published in Nature Chemical Biology.

Sep 2022:   Self-Supervised Pre-Training at NeurIPS 2022

New paper on self-supervised contrastive pre-training accepted at NeurIPS 2022. Project page. Thankful for this collaboration with the Lincoln National Laboratory.

Sep 2022:   Best Paper Honorable Mention Award at IEEE VIS

Our paper on user-centric AI of drug repurposing received the Best Paper Honorable Mention Award at IEEE VIS 2022. Thankful for this collaboration with Gehlenborg Lab.

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