- Implementing mechanistic model to simulate the generation cfDNA fragments in Python- Using probability distributions and statistical methods to represent variability in cfDNA fragmentation, incorporating factors such as linker DNA length, frequency of enzymatic cuts, DNA degradation

- Created a novel, highly efficient algorithm that reduced the computational complexity of a critical ranking function for source optimization for the most advanced lithography software- Achieved performance improvement of 100-1238x, eliminating a bottleneck in system throughput for advanced node chip production- Wrote and implemented unit tests in C++, git, collaborated with teammates to enhance test coverage

- Created a course on polyominoes from scratch and taught graph theory to underserved students- Exceeding 7 of 8 expectations on End-of-Summer Review, received Rehire Offer, Tenure

- Taught 3 periods of Geometry and 2 periods of IB Math at a Title 1 school with ~35 students per class- Developed students’ perseverance, risk-taking, collaboration skills, experimented with student centered methods like solving problems on whiteboards and group problem presentations

- Prepare and implement lesson plans, including hands-on activities and demonstrations- Encourage class participation through activities and classroom management techniques

- Co-led group of new students at UC Berkeley, introduced them to campus and its resources, facilitated nuanced conversations and icebreaker activities, designed mini scavenger hunt- Kept in touch, shared resources and important dates throughout the following year

Estimated DNA mutation rate across primates by processing genomic data using Python