Scholar
Ahmed Allam
Google Scholar ID: xcuCdJUAAAAJ
Yale University School of Medicine
machine learning in healthcare
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Citations & Impact
All-time
Citations
1,233
H-index
17
i10-index
22
Publications
20
Co-authors
23
list available
Contact
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Publications
5 items
Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models
2026
Cited
0
Repurposing Protein Language Models for Latent Flow-Based Fitness Optimization
2026
Cited
0
ASIC-Agent: An Autonomous Multi-Agent System for ASIC Design with Benchmark Evaluation
2025
Cited
0
A Variational Perspective on Generative Protein Fitness Optimization
2025
Cited
0
TAMER: A Test-Time Adaptive MoE-Driven Framework for EHR Representation Learning
2025
Cited
0
Resume
Academic Achievements
The team has published numerous papers and developed various AI tools and technologies for healthcare applications.
Research Experience
Involved in multiple research projects such as predicting drug-drug interactions, base editing efficiencies, emergency care outcome predictions, etc.
Background
Research interests include Clinical Data Science, Genome Data Science, Translational Bioinformatics, and Speech & Cognition.
Miscellany
Team members regularly organize social events like barbecues and ski trips to foster communication and collaboration within the team.
Co-authors
4 total
Michael Krauthammer
University of Zurich
Amina mollaysa
ML research scientist for drug design, Johnson & Johnson Innovative medicine
Stefan Feuerriegel
Professor, LMU Munich
Simone Milani
Associate Professor, University of Padova, Padova, Italy