• Reconstruct pseudo-individual patient data (p-IPD) from Kaplan-Meier curves of phase-2 and phase-3 randomized controlled trials (RCTs) on breast cancer, published between 2018 and 2022.• Utilize a validated computational pipeline in R to map digitized curves back to Kaplan-Meier data.• Collaborate closely with a PhD student and the principal investigator to develop a rigorous statistical pipeline for assessing the accuracy of approximated data against clinical trial reports.• Test computational approach on 20 clinical trials to provide valuable insights into the precision oncology landscape.

• Contribute to the creation of a Single-cell Pediatric Cancer Atlas.• Collaborate with a Computer Science PhD student to demultiplex various data sources, including scale RNA, scale ATAC, and 10X Multinome.• Uncover transcriptomic heterogeneity among individual cells within a population through the utilization of droplet technology in single-cell RNA-sequencing.

• Managed the WiCS Outreach after-school program for 30+ local high school students, which includes weekly introductory computer science workshops and mentorship sessions for the 3 academic quarters.• Coordinated 15+ external WiCS volunteers and prepared them with the skills to teach weekly workshops based in Python and tools to mentor high school students.• Designed curriculum, lesson plans, and mentorship activities for high school students.

• Organized the WiCS Outreach after-school program for 20+ local high school students through holding weekly introductory computer science workshops.• Developed resources to assist high school students in computer science classes and the college application process. • Addressed inequity in education and under-representation in computer science and technology by providing younger students with the opportunities and tools to feel confident and empowered in STEM.

• Engaged in stakeholder discussions to gather insights and align software development according to individual needs.• Developed Software Solutions aimed at enhancing speed and performance of administrative tasks.• Created practical implementations to enhance administrative data collection processes by designing, developing, and deploying innovative web and mobile applications.

• Utilized various professional statistical techniques and maintained dataframes to collect and analyze general health data from 250+ participants with 6300+ variables using R and Python.• Identified, analyzed, and interpreted trends in complex data sets by finding correlations and visualizing with graphs.• Completed data cleaning and data validation of existing dataframes resulting in accurate data analysis and entry.• Developed protocol for identifying and correcting data errors to maintain data integrity.

• Improved data cleaning procedures and rigor of survey findings supplementing screenshots of smartphone environments.• Gathered, arranged, and corrected research data to create graphs and charts highlighting results for presentations.• Managed, prepared and manipulated extensive dataframes of 6300+ variables for 250+ participants in the study using R.• Presented findings to healthcare professionals highlighting the experiment’s progress.

• Managed the undergraduate mentorship program for 40+ premed students to foster meaningful connections and an uplifting community.• Developed curriculum for mentors to use in biweekly meetings focused on tackling common questions and challenges premed students face.• Organized social events and study events for 40+ students to provide attendees with the opportunity to build a network of people with similar career goals.

• Assessed students’ comprehension of research projects to track progress and set realistic goals.• Assisted mentees in getting acclimated to coding in R with consistent coaching and assisting with task prioritization.• Provided educational and career advice to high school students and offered encouragement and support in their projects.• Shared resources, opportunities, and activities to support mentee’s learning and development.• Established trusting relationship with mentee by maintaining professionalism and honoring confidentiality.

• Manipulated the age of reproduction to examine its effects on longevity in Drosophila melanogaster.• Collected data on population genomics to identify changes that occurred due to the forces of natural selection.• Conducted food cooks, performed egg collects, set up new populations.• Assisted with preparing project-related reports and presentations.• Volunteered at the Discover Cube of Orange County to educate children on the impact Drosophila melanogaster have on the environment and research.