Computational Mathematics, Science & Engineering · Michigan State University

Hou Lab

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

2026

  • Sep 2026
    PosterRahul Jasthi presented “ARSMA: An Advanced RNA Motif Structural Analysis Platform” at the SLU Institute for Drug and Biotherapeutic Innovation (SLU-IDBI) Annual Research Symposium (September 18). Photo & details.
  • Aug 2026
    FundingDr. Hou received a new NSF EAGER award, “Collaborative Research: EAGER: Unveiling Security Risks to Scientific Integrity in AI-Driven Biological Discovery” (Award 2628291). The project maps how externally sourced datasets, reference databases, and pretrained models enter AI-driven biological workflows, and measures how integrity failures in those resources propagate to scientific conclusions. See Grants.
  • Jun 2026
    FundingDr. Hou (co-PI) and Dr. Si Chen (PI, School of Planning, Design and Construction) received an MSU AI Ready Spartans Innovation Grant for “Urban AI: AI-Driven Decision Support for Real-World Urban Challenges” — a 20-hour online, non-credit learning experience open to MSU students from all majors. Course page.
  • Mar 2026
    PosterUndergraduate researchers Rahul Jasthi, Vivek Shenoy, Ahmed Bektic, and Ellen Nguyen presented “AutoRNA: Incorporating a Fully Automated AI Agent into Various Advanced RNA Structural Analyses” at the Sigma Xi 2026 Research Symposium at Saint Louis University (March 30). AutoRNA is now part of the ARSMA platform with the full CoSSMos workflow and a structured multi-agent governance loop. Photo & details.
  • Jan 2026
    Lab newsDr. Hou joined the Department of Computational Mathematics, Science and Engineering (CMSE) at Michigan State University as a tenure-track Assistant Professor. The Hou Lab is now based in East Lansing and is recruiting.

2025

  • Oct 2025
    PosterUndergraduate researcher Rahul Jasthi presented “AutoRNA: Advancing RNA motif structural analysis with a fully automated AI agent” (with Ramez Mosad, Burhan Khan, Vivek Shenoy, Brent M. Znosko, and Jie Hou) at the 2025 ACS Midwest Regional Meeting (October 14), supported by an SSE Undergraduate Research Travel Award. Photo & details.
  • Jul 2025
    FundingDr. Hou (co-I) received a three-year NIH/NIGMS grant, “Understanding the Thermodynamics and Structure of RNA Secondary Structure Motifs” (PI: Dr. Brent Znosko). Project 2R15GM085699-05.
  • May 2025
    PromotionDr. Hou was promoted to Associate Professor with tenure at Saint Louis University, effective July 1, 2025.
  • Mar 2025
    AbstractOur warfarin work, “Improving Warfarin Therapy Safety with Accurate International Normalized Ratio (INR) Prediction Algorithms,” was accepted for poster presentation at the 33rd Congress of the International Society on Thrombosis and Haemostasis (ISTH 2025). Acceptance letter.
  • Mar 2025
    FundingDr. Hou (PI) received a one-year SLU SURGE grant to develop AI agents and LLMs for automated RNA structural analysis and modeling (details).
  • Feb 2025
    PublicationHonored to co-author the ACM SIGCSE 2025 tutorial “Teaching Coding in the Age of AI” at the largest CS-education conference. Full paper · Workshop materials.
  • Jan 2025
    FundingDr. Hou (PI) received a six-semester grant from the SLU Foundational Interdisciplinary Research Experience (FIRE) program to involve undergraduates in building an AI agent for automated RNA structural analysis with large language models.

2024

  • Nov 2024
    FundingDr. Hou (co-PI) received a two-year NSF grant, “CC* Compute-Campus: Modernizing Campus Cyberinfrastructure for AI-Enhanced Research and Education (ModernCARE)” (2430236).
  • Sep 2024
    FundingDr. Hou (PI) received a three-year NIH/NIGMS grant, “Improving Artificial Intelligence Readiness of RNA Motif Data for Structure Analysis and Modeling” (1R15GM155891-01).
  • Aug 2024
    Paper“Exploring the efficiency of deep graph neural networks for RNA secondary structure prediction” was accepted for oral presentation at ICIBM 2024 and recommended for journal submission. Congratulations to the team!
  • Jul 2024
    FundingDr. Hou (co-I) received a subaward on a four-year NIH/NHLBI R01 to develop machine-learning methods for pharmacogenetic refinement of the warfarin dose (PI: Dr. Brian Gage, WUSTL; 1R01HL173734-01).
  • Jun 2024
    FundingSLU SURGE funding received to support an undergraduate student working on RNA structure analysis during the 2024–2025 academic year.
  • May 2024
    AwardDr. Hou received the SSE Faculty and Staff Excellence in Teaching Award from the School of Science and Engineering at SLU.
  • May 2024
    AppointmentDr. Hou accepted a secondary appointment in the Department of Health and Clinical Outcomes Research (HCOR), SLU School of Medicine.
  • Mar 2024
    StudentsCongratulations to Omkar Datta Sowri Vullaganti and Vinay Chaudhari, both accepted to the Midwest Research Computing and Data Consortium Student Research Experience Program with travel support and stipends.
  • Mar 2024
    StudentsVinay Chaudhari joined the lab as a graduate research assistant. Welcome!
  • Feb 2024
    AlumniCongratulations to Charlz Nithin Jerold (SLU BCB) on accepting a full-time position as Bioinformatics Research Analyst at Washington University in St. Louis.

2023

  • Nov 2023
    TalkDr. Hou gave a guest lecture at Barnes-Jewish Hospital, St. Louis, on machine-learning applications in healthcare.
  • Nov 2023
    StudentsAbdur Rahman Syed Ali (BCB) joined the lab. Welcome!
  • Oct 2023
    TalkDr. Hou spoke at the 2023 AI for Medicine conference on AI and big-data analytics in healthcare data.
  • Sep 2023
    TalkDr. Hou presented “The applications of deep learning techniques in protein structure prediction” at the 2023 SLU Computer Science Colloquium.
  • Aug 2023
    TalkDr. Hou presented our full paper on AnglesRefine (Transformer-based refinement of 3D protein structures using torsion angles) at the BioKDD workshop, ACM SIGKDD 2023, Long Beach.
  • Aug 2023
    ServiceDr. Hou began serving as Curriculum Committee Chair of the SLU School of Science and Engineering.
  • Mar 2023
    ServiceDr. Hou began serving as workshop co-chair of BioKDD 2023.

2022

  • Aug 2022
    TalkMahdi Rahbar presented our full paper on deep graph learning for ranking protein structure predictions at ACM-BCB 2022.
  • Jul 2022
    PosterDr. Hou presented a poster on deep-learning-based ranking of protein–protein complexes at ISMB 2022.
  • Jun 2022
    Paper“Deep graph learning to estimate protein model quality using structural constraints from multiple sequence alignments” was accepted at ACM-BCB 2022; an abstract on ranking protein–protein complexes was accepted at ISMB 2022.
  • May 2022
    FundingSLU President's Research Fund award (co-PI) for privacy analysis of distributed learning with a defensive measure (05/2022 – 04/2023).
  • Apr 2022
    ServiceDr. Hou served as a judge at the SLU GSA Research Symposium and as a moderator at the SLU Sigma Xi Symposium.

2021

  • Dec 2021
    FundingWUSTL ICTS/CTRFP award (co-PI) to develop machine-learning algorithms for pharmacogenetic refinement of warfarin dose (03/2022 – 02/2023).
  • Mar 2021
    FundingSLU President's Research Fund award (PI) to develop deep-learning algorithms for protein structure prediction (05/2021 – 11/2022).

2019

  • Sep 2019
    Lab newsThe Hou Lab started in the SLU Department of Computer Science and the Bioinformatics & Computational Biology program.

2018

  • Dec 2018
    CASP13Dr. Hou's protein quality-assessment approach was ranked No. 1 in ranking protein structural models in the 13th world-wide CASP competition.