Resume

Ajay Khanna - Computational Chemist

Summary

Computational Chemist specializing in the intersection of computational physics and chemistry, focusing on optical spectroscopy, resonance energy transfer, excited state properties, and dynamics of molecules in a condensed environment. Expertise in high-throughput computational techniques, spanning ground and excited state ab initio molecular dynamics, with a strong foundation in high-performance and GPU computing. Adept using Cheminformatics tools for advanced high-throughput virtual screening and ML applications.

Bringing industrial experience in developing rank-ordering computational pipelines for accelerating rank-ordering potential molecules. Excellent writing, communication, and collaboration, evident from successful resource allocation grants, oral presentations, and experimental collaborations.

Education

  • Ph.D. Computational Chemistry, University of California, Merced, USA
  • M.Sc. Chemistry, National Institute of Technology (NIT), Rourkela, India
  • Diploma in Full Stack Web Design and Development, eZone Academy

Awards

  • Outstanding Graduate Student Support Award
  • GROW TA Training and Support Fellowship
  • Graduate Excel Peer Mentor Award
  • Summer Research Fellowship (twice)

Teaching Pedagogy

  • Level 1 - Introduction to Teaching Pedagogy
  • Level 2 - Principles of Pedagogy
  • Level 3 - Advanced Pedagogy

Communication

  • Toastmasters, 5x Best Speech Accolade
  • Stanford's Writing in Sciences course by Dr. Kristin Sainani, Spring 2021

Mentorship

  • GradEXCEL Program, UC Merced: Mentored multiple students from 2019 to 2022
  • Undergraduate Students: Indar and Ethan