Three disciplines that meet in one place: turning rigorous science into something a client, a journal, or a machine learning model can actually use.
Over a decade across oncology, molecular biology, and neuroscience — from bench to strategy.
Research Associate II · 2015–2018
Led genetic target validation work — DNA/RNA expression, transfection, tissue analysis, and gene profiling — contributing to peer-reviewed publications on receptor-targeted radiotherapy and melanocortin signaling.
Doctoral Researcher · 2018–2025
Designed and led studies on dopamine D1 receptor circuits and mood-related behavior, combining behavioral neuroscience with molecular and genetic techniques under Dr. Gregg Stanwood.
Fulbright Fellow & Guest Scientist · 2024–2025
Advanced research on cortical cellular pathways using human iPSC models, advanced imaging, and genetic analysis — the foundation that later shaped NeuroPenetrance.
Adjunct Professor · 2017–2018
Taught Biological Foundations (lecture & lab), translating research-level concepts for early-stage students.
Manuscript co-authorship, science communication, and long-form writing that makes complex neuroscience legible to a wider audience.
Author of STEM-azing, an ongoing blog exploring neuroscience, resilience, and life as a multicultural scientist working across the US and Europe — read by students, peers, and the wider public alike.
Read the blog →Applied machine learning and statistical analysis — trained through Le Wagon's Data Science & AI program and proven on real biomarker data.
Founder of a dual-engine platform combining iPSC-derived multi-omics profiling with an AI biomarker layer for neurodevelopmental disorder risk stratification. Built and validated a full classification pipeline (PCA, logistic regression, Random Forest) on public transcriptomic data, achieving results competitive with published academic benchmarks.
See the project →