Scholar
Mehdi Yazdani-Jahromi
Google Scholar ID: iLu_fEcAAAAJ
University of Central Florida
Citations & Impact
Citations
211
H-index
7
i10-index
6
Publications
13
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published works include HELM (Hierarchical Encoding for mRNA Language Modeling, ICLR 2025), Equi-mRNA (Protein Translation Equivariant Encoding for mRNA Language Models, NeurIPS 2025), and FairBiNN (Fair Bilevel Neural Network: On Balancing Fairness and Accuracy via Stackelberg Equilibrium, NeurIPS 2024). His work has gained attention from national media outlets and academic institutions for its impact on drug discovery and ethical AI.
Research Experience
- Research Internships: Johnson & Johnson (therapeutic development), Microsoft Research (Health Futures group, working on AI-driven solutions for biomedical and clinical challenges).
Education
- PhD in Computer Science, University of Central Florida
Background
- I’m Mehdi Yazdani-Jahromi, a Ph.D. candidate in Computer Science at the University of Central Florida, where I specialize in AI for computational biology, with a focus on representation learning and sequence modeling. My research aims to bridge deep learning and biology by developing models that capture the underlying structure of genomic data.
Miscellany
- Passionate about building transparent, biologically grounded AI systems and expanding the capabilities of machine learning to drive discovery in the life sciences.
Co-authors