Computational Mathematics, Science & Engineering · Michigan State University

Hou Lab

AI and machine learning for biomolecular structure, omics, and health

Jie Hou

Jie Hou, Ph.D.

Assistant Professor, Department of Computational Mathematics, Science and Engineering (CMSE), Michigan State University

Dr. Hou is a tenure-track Assistant Professor in the Department of CMSE at Michigan State University (since January 2026). He was previously an Associate Professor with tenure in the Department of Computer Science at Saint Louis University, where he founded the lab in 2019 and held a secondary appointment in the Department of Health and Clinical Outcomes Research, School of Medicine. He received his M.A. in Statistics (2014) and Ph.D. in Computer Science (2019) from the University of Missouri–Columbia, working with Dr. Jianlin Cheng.

His research develops machine learning, deep learning, and optimization methods for protein/RNA structure prediction, molecular interactions, and structure quality assessment, with collaborative work in healthcare analytics, privacy-preserving ML, and omics data analysis.

Email: houjie@msu.edu
Office: CMSE 2502, Michigan State University, East Lansing, MI 48824

CV, Google Scholar, NCBI Bibliography

  • VC
    Vinay Chaudhari
    Research Bioinformatician · Michigan State University
  • YG
    Yura Gao
    Ph.D. student, CMSE, Michigan State University · Spring 2026 – present · gaoyu13@msu.edu

    Yura is a Ph.D. student in CMSE at MSU and joined the Hou Lab in 2026. Her research focuses on developing AI methods for RNA structure prediction and modeling, with interests in structural representation learning, RNA motif analysis, and generative modeling. Outside of research, Yura enjoys snowboarding, singing, and baking.

  • IN
    Isaac Nkrumah
    Ph.D. student (co-advised), Computer Science, Saint Louis University · Fall 2025 – present
  • TR
    Tasmia Rahman
    M.S. in Data Science, CMSE, Michigan State University · Fall 2026 – present · rahman64@msu.edu

    I am a first-year master’s student in Data Science with a background in Computer Science. I am currently working on diffusion models for RNA structure prediction, and also on computational battery modeling. Apart from this, in my free time I watch Gilmore Girls and How I Met Your Mother as my comfort shows.

  • IK
    Ibrahim Khan
    Computer Science, Saint Louis University · Spring 2025 – present
  • VS
    Vivek Shenoy
    Computer Science, Saint Louis University · Spring 2025 – present
  • RJ
    Rahul Jasthi
    Chemistry, Saint Louis University · Fall 2025 – present
  • SY
    Shuyang Yu
    Applied Mathematics and Statistics, Emory University · Fall 2026 – present

    I am an undergraduate at Emory University majoring in Applied Mathematics and Statistics. I am interested in using statistical methods and large language models to address biomedical and health problems.

  • VH
    Vincent Huang
    Fall 2026 – present

    I am a high schooler in the Bay Area working at the intersection of computational biology and AI tooling. Outside of research, I like to read, hang out with friends, and sleep.

Interested in joining?

We are recruiting Ph.D. and M.S. students, undergraduate researchers, and visiting scholars at Michigan State University. See Join Us.

26 former members (Saint Louis University, 2019 – 2025) and where they went next. Scroll inside the box to see the full list.

Graduate & undergraduate alumni (22)

  • LM
    Lakshmi Prasanna Mamillapalli
    M.S., Computer Science, SLU, 2024 – 2025
  • SS
    Shrugna Varma Subburi
    M.S., Bioinformatics & Computational Biology, SLU, 2024 – 2025
  • AA
    Abdur Rahman Syed Ali
    M.S., Bioinformatics & Computational Biology, SLU, 2023 – 2025
  • NS
    Nexhi Sula
    M.S. in AI / Ph.D. student, SLU, 2023 – 2025
  • RM
    Ramez Mosad
    Undergraduate, Computer Science, SLU, 2024 – 2025
  • CJ
    Charlz Nithin Jerold
    M.S., Bioinformatics & Computational Biology, SLU, 2022 – 2024
    Bioinformatics Research Analyst, Washington University in St. Louis
  • PB
    Prerna Ashok Bachwani
    M.S., Bioinformatics & Computational Biology, SLU, 2023 – 2024
    Bioinformatics Research Analyst, Washington University in St. Louis
  • BP
    Bhanuteja Pujari
    Undergraduate, Neuroscience / Psychology / Biology / CS, SLU, 2021 – 2024
    Graduate student, SLU School of Medicine
  • OV
    Omkar Datta Sowri Vullaganti
    Graduate student, SLU, 2024
    MRCDC Student Research Experience Program, 2024
  • IV
    Indira Vats
    Undergraduate, Computer Science, SLU, 2022 – 2023
    MScAC-AI student, University of Toronto
  • DM
    Daniel Mao
    Undergraduate, Computer Science, SLU, 2022 – 2023
    Software Developer, Saint Louis University
  • HB
    Harshitha Badeti
    M.S., Computer Science, SLU, 2022 – 2023
  • VN
    Vijay Varshini Lakshmi Narayanan
    M.S., Computer Science / AI, SLU, 2022 – 2023
  • MR
    Mahdi Rahbar
    M.S., Computer Science / AI, SLU, 2021 – 2023
    First author, ACM-BCB 2022
  • NA
    Noor Al-Hammadi
    Ph.D. (co-supervised), 2022
    Assistant Professor, Saint Louis University; Statistician, WUSTL
  • AN
    Aasritha Nallapu
    Graduate student, SLU, 2022
    Bioinformaticist, Washington University in St. Louis
  • YZ
    Yu Zhang
    Graduate student, SLU, 2021 – 2022
    Bioinformaticist, Washington University in St. Louis
  • PS
    Pankil Shah
    Graduate student, Computer Science, SLU, 2021 – 2022
  • RC
    Rahul Chauhan
    Graduate student, SLU, 2019 – 2021
    Software Development Engineer II, GoDaddy
  • AF
    Ammaar Firozi
    Undergraduate, Computer Science & Biology, SLU, 2020 – 2021
  • SD
    Simi Doshi
    Undergraduate, Public Health & Social Justice, SLU, 2020 – 2021
  • CP
    Ciri Chandana Pocha
    Undergraduate, Neuroscience / Psychology / Biology / CS, SLU, 2020 – 2021

High-school alumni (4)

  • JY
    Jerry Yu
    May 2024 – 2025 · Piedmont High School, California
  • GF
    Grace Fu
    October 2023 – 2025 · Parkway South High School, St. Louis
  • IH
    Ian Hou
    May 2023 – Spring 2024 · The John Cooper School, Texas
  • GS
    Gabriel Schwarz
    Summer 2022