Joseph G. Wakim's News

Proposal on cross-modal, cross-species biomolecular benchmark accepted to AI4Science workshop at NeurIPS 2025.
Paper on benchmarking biomolecular foundation models accepted to FM4LS workshop at NeurIPS 2025.
Paper on use of AI to validate predicted protein-drug interactions accepted to FM4LS workshop at NeurIPS 2025.
Paper on modeling epigenetic cross-talk accepted for publication by Proceedings of the National Academy of Sciences (PNAS).
Presented as finalist at LLNL Lab-wide Research Slam.

Presented poster at the Gordon Research Conference on Epigenetics in Barcelona, Spain.
Delivered invited seminar on transfer learning to LLNL's Bioinformatics Working Group (~60 participants).

Presented Research Slam talk at LLNL's Center for Applied Scientific Computing division meeting.
Delivered second offering of short-course on machine learning as part of LLNL's DSSI program (~60 participants).
Received Noteworthy Achievement Award from LLNL Computing Directorate for teaching and mentoring through LLNL's DSSI program.
Received Noteworthy Achievement Award from LLNL Computing Directorate for performance at Research Slam.

Developed and delivered four-hour short-course on machine learning as part of LLNL's Data Science Summer Internship (DSSI) program (~80 participants).
Awarded first-place at LLNL Computing Research Slam.

Received Noteworthy Achievement Award from LLNL Computing Directorate for contributions to research proposals.

Joined Lawrence Livermore National Laboratory (LLNL) as a Postdoctoral Researcher.
Graduated from Stanford University with a PhD in Chemical Engineering.