Ali Khodabandeh Yalabadi

Hello, I’m Ali Khodabandeh Yalabadi, a Ph.D. candidate and AI researcher with a strong focus on computational drug discovery, machine learning, and data science. Experienced in developing advanced AI models for drug-target interaction prediction, generative molecular design, and algorithmic fairness. Proficient in statistics, data analysis, and predictive modeling, with publications in top-tier venues. Adept at leading projects and managing cross-functional collaborations, combining technical expertise with business acumen. Background in industrial engineering, applying optimization and data-driven strategies to real-world AI challenges.

News

Sep 25, 2024	Our paper, “Fair Bilevel Neural Network (FairBiNN): On Balancing Fairness and Accuracy via Stackelberg Equilibrium,” has been accepted to NeurIPS 2024. We introduce a novel bilevel optimization approach to enhance fairness in machine learning, achieving superior results on key datasets.
Dec 22, 2023	Thrilled to announce that our paper (FragXsiteDTI) has been accepted at RECOMB 2024, following its acceptance at the NeurIPS 2023 AI for Drug Discovery and Development Workshop!

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Selected Publications

Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium

Mehdi Yazdani-Jahromi , Ali Khodabandeh Yalabadi , AmirArsalan Rajabi , and 3 more authors

Neurips 2024, 2024

Bib

@article{yazdani2024fair,
  title = {Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium},
  author = {Yazdani-Jahromi, Mehdi and Yalabadi, Ali Khodabandeh and Rajabi, AmirArsalan and Tayebi, Aida and Garibay, Ivan and Garibay, Ozlem Ozmen},
  journal = {Neurips 2024},
  url = {https://arxiv.org/abs/2410.16432},
  year = {2024}
}

FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation

Ali Khodabandeh Yalabadi , Mehdi Yazdani-Jahromi , Niloofar Yousefi , and 3 more authors

In International Conference on Research in Computational Molecular Biology , 2024

Bib

@inproceedings{khodabandeh2024fragxsitedti,
  title = {FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation},
  author = {Khodabandeh Yalabadi, Ali and Yazdani-Jahromi, Mehdi and Yousefi, Niloofar and Tayebi, Aida and Abdidizaji, Sina and Garibay, Ozlem Ozmen},
  booktitle = {International Conference on Research in Computational Molecular Biology},
  url = {https://arxiv.org/abs/2311.02326},
  pages = {68--85},
  year = {2024},
  organization = {Springer}
}