Experience

Note: 🔨 This page was last updated on 03/30/2026.

Skills

Languages: Python | Bash | R | SQL | Java | C++ | C

Frameworks and Tools: PyTorch | TensorFlow | Bioconductor | Git | Jupyter | HPC | Docker | Scrum

Packages: pandas | NumPy | SciPy | scikit-learn | matplotlib | seaborn | dplyr | tidyr | ggplot2 | and many more!

Education

Degree: M.S. in Computational Biology and Quantitative Genetics
School: Harvard University
Duration: Sep. 2024 - May 2026
Cumulative GPA: 4.00/4.00

Degree: B.S. in Bioinformatics w/ minor in Data Science
School: University of California San Diego
Duration: Sep. 2020 - June 2024
Cumulative GPA: 3.96/4.00

Professional Experience

Title: Data Science Contractor
Organization: Novo Nordisk [link]
Location: Lexington, MA
Duration: Aug. 2025 – Dec. 2025

• Designed and developed pipelines to extract, process, and analyze 3D engineered muscle tissue data.
• Automated workflows end to end to accelerate experimental analyses 70% and enable novel insights.
• Extended and tested scripts across 3D engineered tissue types, supporting analyses company wide.
• Tested and enhanced platforms to run segmentation and foundation models on cell imaging data.
• Implemented modular HPC workflows with a focus on optimization, scalability, and generalizability.
  
  

Title: Data Science Intern
Organization: Novo Nordisk [link]
Location: Lexington, MA
Duration: June 2025 – Aug. 2025

• Created pipelines to benchmark machine learning models across high throughput imaging screens.
• Built automated scripts to identify perturbations inducing significant cellular phenotype changes.
• Compared segmentation features and foundation model embeddings in perturbation assessment.
• Interpreted foundation model embeddings via alignment with segmentation based imaging features.
  
  

Title: Data Science Intern
Organization: Infometry Inc. [link]
Location: Fremont, CA
Duration: June 2023 – Oct. 2023

• Developed Python workflows to clean, transform, and load data from Postgres into Snowflake.
• Built scalable ELT pipelines and Snowflake procedures in SQL and Python via Snowflake connector.
• Automated analytics workflows to compute metrics and generate insights across multiple datasets.
• Designed dashboards and visualizations to communicate key metrics and trends to stakeholders.
  
  

Title: Data Science Intern
Organization: Infometry Inc. [link]
Location: Fremont, CA
Duration: May 2020 – Sep. 2020

• Gained experience with SQL to query, clean, and manipulate data for analysis and reporting purposes.
• Built interactive Power BI dashboards for visualizations and measures to drive business insights.
• Worked on ETL processes using SQL, Postgres, and Snowflake to ensure data integrity and quality.
• Collaborated with multiple departments to analyze business cases and design relevant pipelines.

Research Experience

Title: Computational Biology Research Assistant
Organization: Harvard Department of Biostatistics [Dr. Georg Hahn ]
Location: Boston, MA
Duration: Aug. 2025 – Present

• Analyzing mitochondrial responses to perturbations using transcriptomic and cellular imaging data.
• Deriving mitochondrial metrics from image segmentation features to define morphological states.
• Integrating transcriptomics, drug chemical structure, and MoA to link expression and morphology.
• Building multimodal machine learning and deep learning models for mitochondrial phenotypes.
• Developing pipelines to identify signatures driving mitochondrial fragmentation for target discovery.
  
  

Title: Bioinformatics Research Assistant
Organization: UCSD School of Medicine [Dr. Tariq Rana ]
Location: San Diego, CA
Duration: Jan. 2023 – June 2024

• Designed and developed scRNA-seq and bulk RNA-Seq pipelines to quantify gene and pathway effects.
• Implemented scripts using Python, R, and Bash, to analyze responses to miRNA perturbations in cancer,
  and immune cell changes in the bone marrow and spleen induced by various COVID-19 mRNA vaccines.
• Created and optimized workflows for cell clustering, labeling, DE, GSEA, and data visualization.
• Used packages DESeq2, edgeR, topGO, clusterProfiler, Seurat, sctype, SoupX, and Harmony.

Teaching Experience

Title: Biostatistics Graduate Teaching Fellow
Organization: Harvard Department of Biostatistics [link]
Location: Boston, MA
Duration: Oct. 2025 – Present

• Assisting in the courses Computing for Big Data and Applied Data Structures and Algorithms.
• Supporting over 100 graduate students across 2 semesters via office hours and review sessions.
• Tutoring for algorithm design and optimization, cloud computing, and package development.
  
  

Title: Data Science Undergraduate Teaching Assistant
Organization: UCSD Halıcıoğlu Data Science Institute [link]
Location: San Diego, CA
Duration: Sep. 2022 – June 2024

• Instructed Principles, Practice and Application, and Theoretical Foundations of Data Science.
• Provided support to over 2000 students across 6 quarters with an average approval rating of 95%.
• Assisted students by applying understanding of Python, data science, and statistical data analysis.
• Tutored for topics including machine learning, hypothesis testing, bootstrapping, and A/B testing.
• Held office hours and worked with staff to curate data and course materials using Jupyter and Git.