At Novartis, I'm driving the development and commercialization of T-Charge—a next-generation, rapid CAR-T manufacturing platform. I combine advanced data science with deep CMC domain expertise to enhance decision-making and accelerate clinical development.
\nI've built analytics infrastructure that lets our global teams see around corners. From automated ETL pipelines, interactive dashboards, NLP-driven root cause analysis, predictive machine learning, to Bayesian models that simulate manufacturing success before we run a single batch—my work spans the full spectrum from data engineering to visualization to advanced statistical modeling.
\nThe common thread is turning complex, messy biological and manufacturing data into clear, actionable insights that directly influence process design, real-time manufacturing decisions, regulatory filings, and clinical trial design.
"}},{"node":{"frontmatter":{"title":"Scientist I & II | Cell Therapy Process Development","company":"bluebird bio / 2seventybio","location":"Cambridge, MA","range":"Jan 2020 - Nov 2021","url":"https://www.linkedin.com/company/2seventybio/"},"html":"During my tenure at bluebird bio, I developed processes for a suite of CAR-T cell therapies, including the FDA-approved Ide-cel (Abecma), a pre-clinical allogeneic gamma-delta CAR-T product, and a pre-clinical dual CD79a/CD20 targeting CAR-T product. My work focused on designing closed, automated manufacturing processes and characterizing cell drug product attributes through high-dimensional flow cytometry. Recognizing the complexity of these biological systems, I championed the adoption of statistical Design of Experiments (DoE) and multivariate modeling, shifting the team's approach from intuition-based to data-driven process development.
"}},{"node":{"frontmatter":{"title":"Scientist | Manufacturing Science & Technology","company":"Sarepta Therapeutics","location":"Cambridge, MA","range":"May 2019 - Jan 2020","url":"https://www.sarepta.com/"},"html":"At Sarepta, I worked in the Manufacturing Science & Technology (MS&T) department, supporting both upstream solid phase synthesis and downstream purification (ultrafiltration, chromatography) for the commercial RNA drug product Exondys 51 and clinical pipeline. While there, I spotted an opportunity to eliminate a tedious, error-prone manual process: classifying thousands of HPLC peaks from chromatography fractions. I built a logistic regression model in R that automated this classification—labeling over 2,500 chemical compounds per manufacturing run and replacing work previously done by 3 FTEs with significantly higher speed and accuracy.
"}},{"node":{"frontmatter":{"title":"Graduate Research Assistant","company":"Northeastern University","location":"Boston, MA","range":"Sep 2014 - Apr 2019","url":"https://www.northeastern.edu/"},"html":"For my Ph.D., I developed microfluidic \"organ-on-a-chip\" technologies to model the human gut-enteric axis. I engineered novel fluidic hardware and established complex co-culture systems using human intestinal stem cells.
"}},{"node":{"frontmatter":{"title":"Process Engineer","company":"Cubist Pharmaceuticals","location":"Lexington, MA","range":"Jul 2013 - Aug 2014","url":"https://www.linkedin.com/company/cubist-pharmaceuticals/"},"html":"At Cubist, I worked in the Process Chemistry group where I developed downstream purification processes for APIs heading into pre-clinical and clinical studies. This role gave me a strong foundation in pharmaceutical manufacturing before the company was acquired by Merck.
"}},{"node":{"frontmatter":{"title":"Process Engineer","company":"Nantero","location":"Woburn, MA","range":"May 2011 - Jul 2013","url":"https://www.linkedin.com/company/nantero/about/"},"html":"At Nantero, I worked on cutting-edge nanotechnology for next-generation semiconductor memory. The company was developing NRAM—a high-density, high-speed nonvolatile RAM using carbon nanotubes. My role focused on developing and optimizing the manufacturing process for a high CMOS-grade purity liquid formulation of carbon nanotubes, which was spin-coated onto silicon wafers to enable the memory switches at the heart of NRAM technology.
"}}]}}}