- Tutored 350+ undergraduate students at UC San Diego for CSE 100R: Advanced Data Structures- Debugged C++ implementations of various data structures via tutor hours

- Tutored high school students in Introduction to Computer Science and Object-Oriented Programming: Python for the Discover UC San Diego Program- Hosted tutor hours weekly for 100+ students in the program to answer inquiries related towards programming assignments

- Examined sequence-dependency in looplike DNA structures, performed energy minimization simulations, and integrated higher-fidelity force field functions to the emDNA DNA energy minimization software- Implemented a binding site prediction module in C++ for protein-DNA complexes to identify low-energy states to find an optimal conformational preference of a protein with regards to sequence information

- Augmented molecular generative models with experimental binding affinity data to improve the accuracy of ligand-receptor binding affinity calculations within molecular property prediction networks- Researched generative modeling architectures and worked on a latent diffusion model to generate protein target-aware small molecule structures for drug discovery processes with greater efficiency than traditional diffusive architectures

- Facilitated lab hours for to answer inquiries on fundamental Python programming concepts for 50+ incoming first-year students- Guided students developing Machine Learning models as their capstone project as a project mentor and provided assistance with various libraries such as pandas and Scikit-learn