Actively looking for full-time opportunities in Los Angeles, CA, USA and Vancouver, BC, CA!
Check out my personal webpage for more details about my experience and skills.
I am a recent Chemical Engineering Ph.D. graduate from UMass Amherst and PPG Fellow. I use a variety of computational and analytical methods to study the phase behavior and self-assembly of synthetic and biological systems in the Muthukumar Group. I have 6 years of hands-on experience building machine learning models and developing scientific software tools for both computational chemistry and computational biology.
- Theory for pH-responsive polyzwitterion-polyelectrolyte complexation [Ref]
- 3D convolutional neural networks to predict adsorption properties in nanoporous materials [Ref]
- Automation script for the senior lab course I have TA'ed, saved 8 hours over the course of the semester [repo]
- Ising model implemented in Rust: 1 billion steps, 2,000 x 2,000 square lattice, 6 seconds [repo]
- Explainable machine learning to study how monomer sequence impacts microphase behavior [in preparation]
- Atomistic, explicit solvent simulation to validate findings from Chen, S. & Wang, Z.-G. PNAS 2022