CliGenAILab

Advancing clinical genetics/genomics with trustworthy AI.

At CliGenAILab, we explore the interface of clinical genetics and artificial intelligence to improve patient care and outcomes. We build methods and tools that translate cutting-edge research into actionable insights for clinicians and patients.

We collaborate with clinicians, geneticists, and data scientists to tackle complex challenges in healthcare—from developing predictive models for rare-disease diagnosis to creating agentic AI tools that support precision medicine.

We’re always looking for curious, mission-driven people to work with us. Interested in our research or a collaboration? Get in touch.

Research Interests

  • Medical informatics
  • Clinical genetics and genomics
  • Electronic health records (EHRs)
  • Generative and agentic AI

Latest News

  • — Yousserf and Jun's works were accepted as podium abstracts presentations at AMIA 2026 Amplify Informatics Summit. Congrats!
  • — Cong gave a talk at the AMIA GEN/TBI WG
  • — FHIR-AgentEval is available now in the preprint!
  • — Ravi joins as a Postdoc Research Fellow
  • — Yousserf, Jun and Adelina presented their work at MidAtlantic Bioinformatics Conference.
  • — PRICE article accepted in BMC Medical Informatics and Decision Making. Congrats, Adelina!
  • — eMERGE breast-cancer implementation paper accepted in JAMIA Open.
  • — Perspective on Learning Health Systems published in npj Health Systems.
  • — OT2 awarded to CHOP where Cong is a co-investigator.
  • — Dr. Cong Liu promoted to Assistant Professor.
  • — Jun joins as Research Data Scientist. Welcome!
  • — Adelina joins as Research Data Scientist. Welcome!
  • — Cong gave a talk at AGMR.
  • — Cong gave a talk at CHOP.
  • — Yousserf joins as Software Engineer. Welcome!

Lab Members

  • Cong Liu, PhD — Principal Investigator; More about Cong
  • Kamalakkannan "Ravi", PhD — Postdoctoral Research Fellow
  • Jun Kim, MS — Research Data Scientist
  • Adelina Nie, MS — Research Data Scientist
  • Yousserf Mokssit, MS — Software Engineer
  • Jordan Jomsky, MS — Alumni; PhD student at USC
  • Xinyi Zhao, MS — Alumni; Data Scientist at Apple
  • Ryu Sonoda, MS — Alumni; Data Scientist at EY

Current Projects

  • RESCUE: R01 funded project to train machine-learning–based models using EHR data and identify patients who may benefit from exome/genome sequencing (ES/GS).
  • Multimodal Diagnosis: In partnership with CHOP and Columbia, integrating genomic, facial-image, and clinical data to improve rare-disease diagnostics.
  • eMERGE: Studying polygenic risk scores and how to integrate them into the EHR to support clinical decision-making and improve outcomes.
  • Agentic AI for Clinical Genetics: Designing and evaluating agentic architectures that go beyond simple chatbots to execute end-to-end clinical genetics/genomics workflows.
  • PRICE: Building a cost-efficient analysis framework for AI-enabled rare-disease diagnosis.
  • Patient-Centered Medical AI: Assessing the feasibility of translating hospital-trained models into patient-facing apps in collaboration with third-party partners.