Getting RNA-therapeutics to the starting line

Using machine learning to drive RNA-focused drug discovery

- Research associate: statistical machine learning- Worked on theory for developing and analyzing statistically optimal algorithms for pure exploration problems in multi-armed bandits

- Created a novel deep learning-based approach for identifying chaotic dynamical systems from trajectory observations- Engineered software tools for high-throughput trajectory data generation on a compute cluster

- Created a supervised machine learning model for credit card fraud detection using GCP services for data processing and evaluation pipelines- Worked on unsupervised machine learning models for customer categorization and marketing- Analyzed A/B/n tests for a product promotion campaign

- Developed a novel control scheme for an assistive robotic arm, using joystick controls in conjunction with a computer vision system for guidance.- Created a simulator to develop and test the new control method and successfully implemented the scheme on a robotic arm

- Developed a program to test a possible mechanism for high-temperature superconductivity via numerical estimates of system properties according to Migdal-Eliashberg theory- Wrote performant compiled modules (Fortran) for use in a Python program for ease of development while retaining computational speed

- Developed custom ab initio quantum chemistry programs to estimate the ground state properties of exotic molecules