Work experience

• 2022–present: Postdoctoral Fellow
  Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France

• 2018–2022: Postdoctoral Fellow
  Harvard Medical School, Boston, USA.

• 2016–2018: Graduate Research Assistant
  University of Kansas, Lawrence, USA.

• 2012–2016: Graduate Teaching Assistant
  University of Kansas, Lawrence, USA

Education

• 2018: Ph.D. in Physics, University of Kansas, Lawrence, USA
• 2010: M.S. in Physics, University of Pune, Pune, India
• 2007: B.S. in Physics, St. Xavier’s College, Mumbai, India

Skills

• Significant expertise in Python: JAX, PyTorch, scikit-learn, Pandas, Numpy, SciPy
• Mathematical modeling and statistics: ODE modeling, Bayesian inference, Gillespie simulations
• AL/ML tools: Variational autoencoders, convolutional neural networks, XGBoost, clustering
• Analysis of sequencing and omics data: RNA-seq (bulk and single-cell), proteomics, MERFISH, CyCIF
• Scientific computing and workflow management: SLURM, GitHub, Docker, Snakemake and Nextflow
• Technical writing: scientific manuscripts and grants