ONLINE

Pramesh Sharma

I'm a Computational Biologist and NIH Postbaccalaureate Fellow developing machine learning methods to predict protein conformational states. I graduated from UC Davis with a degree in Computer Science. I use my background in both biology and computer science to bridge the gap between these fields and communicate complex scientific concepts to diverse audiences. I am passionate about science and mentoring future scientists and engineers.

system.log
~$cat profile.txt
  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  Name: Pramesh Sharma
  Role: Postbaccalaureate Fellow
  Organization:  National Institutes of Health
  Lab:  National Library of Medicine · Porter Lab
  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
~$skills --list
  → Machine Learning
  → Scientific Computing
  → Software Engineering
  → Science Communication
~$links --featured
  → Substack
  → Medium
  → Pinterest
~$

Pramesh Sharma is a Computational Biologist specializing in protein structure prediction and bioinformatics. His NIH research applies AlphaFold2 attention analysis and k-medoids clustering to identify distinct conformational states in fold-switching proteins. He has previously interned at NASA Ames (computational biology), Genentech (computational proteomics), and Walmart (computer vision / deep learning). He writes about science, career transitions, and STEM mentorship on Substack.