Jaswanth Yella

Data Scientist at Sephora

Jaswanth Yella

About Me

I am a Data Scientist (AI/ML) at Sephora. My work is in graph machine learning and recommendation, applied to drug repositioning in research and to personalization at Sephora.

I received my PhD in Computer Science from the University of Cincinnati in 2023, advised by Dr. Anil Jegga. My dissertation used graph neural networks on multimodal biomedical data for drug repositioning and polypharmacy adverse event detection. During my PhD I also worked at Seagate on deep learning for manufacturing sensor data.

Publications Google Scholar GitHub LinkedIn

Activities

  • [2026] Reviewer, IEEE Journal of Biomedical and Health Informatics.
  • [2025] Reviewer for IEEE/ACM Transactions on Computational Biology and Bioinformatics (2025 reviewer certificate), IEEE Journal of Biomedical and Health Informatics, Journal of Chemical Information and Modeling, and Acta Pharmaceutica Sinica B.
  • [2023] Joined Sephora as a Data Scientist (AI/ML).
  • [2023] PhD in Computer Science, University of Cincinnati.
  • [2022] MGATRx published in IEEE/ACM Transactions on Computational Biology and Bioinformatics; GraMDTA at IEEE BIBM 2022.
  • [2021] Six papers at IEEE BigData 2021 on soft sensing for semiconductor manufacturing.
  • [2019] Poster, New York Academy of Sciences Drug Repositioning Symposium.
  • [2018] MS in Computer Science, University of Cincinnati; review on computational drug repositioning in Pharmaceuticals.