Merck & Co

Harnessed data from PI RESTful WebAPI's and S3 DataLake to extract and manipulate large datasets using SQL and Python

Applied ML (machine learning) techniques, including k-means clustering and anomaly detection, to identify patterns across datasets of valve systems during equipment start-up

Developed a real-time tool using Dataiku and PowerBI using agile methodologies (Jira) to prevent valve leaks by identifying at-risk valves, leading to a significant reduction in production downtime, mitigated product loss (discards), and minimized maintenance costs

Advanced critical path milestones for Gardasil 9 process performance qualification (PPQ) by authoring exception reports in electronic validation software (eVal) and obtaining cross-functional review/approval

Merck & Co

Leveraged R analysis techniques using the Seurat package to identify gene signatures and cluster cell types from bulk and single cell RNA sequencing data (scRNAseq) obtained from dermatomyositis patients

Utilized RShiny to deploy visualization dashboard of systemic sclerosis scRNAseq data after filtering with Seurat workflow, leading to a 40%-time savings for a team of scientists exploring genes of interest & potential drug targets

Supported preliminary antibody drug conjugate (ADC) potency research by optimizing assays for precise cell surface antigen enumeration utilizing flow cytometry, achieving a 20% increase in data accuracy

Engineered a novel assay to explore markers of disease progression in systemic lupus erythematosus (SLE) by expanding Treg cell population by 200% with interleukin-2 (IL-2) and utilizing flow cytometry to measure pSTAT5 levels

The Jiang Lab

Investigated T-cell response in patients with TDP-43 deficiency by isolating and cloning antigen-specific T-cell receptors from ALS & IBM patients' peripheral blood mononuclear cells (PBMCs)

Conducted multi-color flow cytometry experiments on samples and analyzed the expression of surface markers using gating techniques

Designed and executed lentivirus transduction experiments to modify T-cell receptor (TCR) expression in Jurkat T-cell lines

Maintained cell cultures with 95%+ viability, including regular passaging, monitoring of cell health, and preparing media/reagents

GreenViet

Spearheaded research into potential new services to be offered to clients (Environmental Product Declarations & Carbon Offsets)

Modeled projected revenue by incorporating data from market research reports, industry trends, and client demand analysis, to estimate a potential revenue of $5M in the first year of EPD and Carbon Offset implementation

Used industry data and market reports to research SE Asia's green building market, valued at $30B in 2021, with projected growth to $50B by 2025

Presented research on the carbon offset market during meetings with clients, revealing 1500% increase in demand over the next decade

Moelis Access Science

Developed a weekly lesson plan to teach STEM topics to young children

Led the teaching of lessons in West Philadelphia after-school programs

Penn Biotech Group Consulting (PBG)

Helped size a market and identify the competitive landscape for a large pharmaceutical company in key diseases in the area of hematology

Presented to panels, interviewed Key Opinion Leaders (KOLs), and conducted primary research to gather insights and data

Science Olympiad @ University of Pennsylvania (SOUP)

Tutored North Philadelphia high-school students in Science Olympiad events

Helped organize Penn Invitational Science Olympiad tournament

Penn Undergraduate Biotech Society (PUBS)

Managed outreach to important figures in the biotech space to be interviewed for a podcast

Edited and published a podcast discussing current, important biotech topics

34th Street Magazine

Crafted weekly articles for publication online and in print for the University of Pennsylvania cultural and fine-arts magazine

Managed Facebook and Instagram outreach to an audience of 2000+ followers