I was formerly a Research Engineer in Clelland Lab at the UCSF Weill Institute for Neurosciences, where my research focused on high-throughput tools for the development of gene therapies that cover multiple people (precision medicine). I'm currently pursuing an MS in CS at the Georgia Institute of Technology, and I received a BA in Computer Science and Data Science from the University of California, Berkeley in 2023. My interests include the following: distributed systems, data platforms, data engineering, inference, prediction, full stack development, online communities, genomics (whole genome sequencing, disease association, genome editing and personalized medicine), computational biology, bioinformatics, biostatistics, and synthetic biology.
- Notable Coursework
- DATA 101 - Data Engineering
- COMPSCI 186 - Introduction to Database Systems
- COMPSCI 161 - Computer Security
- COMPSCI 169A - Introduction to Software Engineering
- COMPSCI 160 - User Interface Design and Development
- DATA C102 - Data, Inference, and Decisions
- INFO 159 - Natural Language Processing
- DATA 144 - Data Mining and Analytics
- COMPSCI 61A - Structure and Interpretation of Computer Programs
- COMPSCI 61B - Data Structures
- COMPSCI 61C - Machine Structures
- DATA C100 - Principles and Techniques of Data Science
- DATA C8 - Foundations of Data Science
- DATA C140 - Probability for Data Science
- COMPSCI 70 - Discrete Mathematics and Probability Theory
- MATH 54 - Linear Algebra and Differential Equations
- ECON 140 - Econometrics
- ECON 100A - Microeconomics
- CYPLAN 101 - Urban Data Analytics
- UGBA 146 - Project Management
- UGBA 192S - Business and Sustainability
- ACCTG 2 - Corporate Financial and Managerial Accounting
- ACCTG 1 - Introduction to Financial Accounting
- BIOENG 98 - Foundations of Engineering Biology