Scholar
Enakshi Saha
Google Scholar ID: Sy0BE_sAAAAJ
Assistant Professor, University of South Carolina
Citations & Impact
Citations
223
H-index
7
i10-index
6
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Nominated by the National Academy of Medicine for the 2025 Richard and Hinda Rosenthal Emerging Leaders in Health and Medicine forum.
Research Experience
- Postdoctoral Research Associate: Harvard T. H. Chan School of Public Health, Department of Biostatistics, supervised by Dr. John Quackenbush; National Science Foundation Mathematical Sciences Graduate Intern: Argonne National Laboratory, June - August 2020.
Education
- PhD: University of Chicago, Department of Statistics, June 2021, advisor not specified; Master's and Bachelor's (BStat and MStat) degrees in Statistics from Indian Statistical Institute, Kolkata.
Background
- Research interests: Bayesian statistics, Machine Learning, and Computational Biology, with a particular focus on building computational tools for uncovering individual-specific variability in the molecular mechanisms of complex human traits and diseases, such as aging and cancer.
Miscellany
- Contact: esaha@mailbox.sc.edu; Google Scholar, GitHub, LinkedIn, Twitter
