San Francisco Bay Area
I work at the intersection of bioinformatics, machine learning, and software engineering, and am currently pursuing a Master’s in Molecular Science & Software Engineering at UC Berkeley. Experienced in building scalable Python pipelines, machine learning workflows, and graph based models for biological and scientific data. Interested in roles where computational systems directly support real biological research and scientific decision making
Worked on sequence decoding and data visualization, gaining proficiency in FLASH software and modifying sequence decoding scripts for improved performance. Visualized research data to derive meaningful insights and enhance the communication of results. Developed and refined code for a Graphical User Interface (GUI) that automates cell plate image processing through CellProfiler pipelines, contributing to a high-throughput image analysis workflow.
Assisted in organizing the UCDDC Symposium and a networking conference at UCLA, hosting over 200 attendees and 8 guest speakers. Supported Dr. Scott Lokey, Executive Chair, in administrative and research duties, contributing to the consortium's strategic and operational initiatives. Created detailed speaker profiles, highlighting the expertise and background of each guest.
Tutored students in grades 9 and 10. Taught them programming in Java and concepts such as object-oriented programming principles, data types, functions, etc.