Bioprocess engineer and data scientist with twelve years of experience across therapeutic protein and cell therapy product development and manufacturing, from R&D platform development to technical stewardship of commercial manufacturing.

Skills

Biomanufacturing: Cell therapy, biologics, process development, IND/BLA’s, GMP manufacturing, bioinformatics (NGS, single cell multi-omics), process and cleaning validation, technology transfer, contract manufacturing, analytical method development

Data Science: Classification, regression, clustering, design of experiments, statistical process control, model validation

Programming and Tools: Python (Pandas, NumPy, scikit-learn, TensorFlow), R, Nextflow, SQL, GitHub, GitLab, AWS, Databricks, JMP, Nextflow Tower, SIMCA, Microsoft Azure

Principal Engineer, Data Science — Cell Therapy Development & Operations

AstraZeneca · Sep 2024 – Present · Greater Los Angeles, CA

  • Process Data Science & Statistics lead supporting late-stage cell therapy process development and manufacturing.
  • Drive CMC data strategy and author IND amendment sections, translating complex data into regulator‑ready, statistically defensible narratives.
  • Design and deploy risk‑based statistical frameworks (equivalence testing, tolerance intervals, variance component analysis) to evaluate process performance.
  • Build and scale Snowflake-based data systems and interactive dashboards for real-time analytics and decision support.
  • Shape long-term digital manufacturing strategy, integrating AI/ML and scalable infrastructure to enable commercial readiness.
  • Mentor scientists and engineers in statistical rigor, GMP analytics, and applied data science.

Senior Data Scientist — Cell Therapy R&D

Resilience · Oct 2021 – Aug 2024 · San Diego, CA

  • Led a cross-functional R&D team as Product Owner and Data Scientist for NGS assay development supporting CAR T-cell manufacturing.
  • Spearheaded single-cell NGS characterization assay development focused on features tied to clinical efficacy.
  • Developed NGS-based rapid sterility assay for cell therapy manufacturing, reducing detection time compared to traditional compendial methods.
  • Contributed to regulatory strategy for NGS assays and participated in FDA interactions.
  • Performed bulk and single-cell NGS analysis using R and Python; developed cloud-based bioinformatics pipelines (Nextflow, AWS).
  • Drove product development processes and operational improvements in a startup environment.

Data Scientist — Software Technology Solutions

BD · Feb 2021 – Oct 2021 · San Diego, CA

  • Built software solutions for medical device data analysis and ML-based log file analytics (Databricks, Azure).
  • Designed algorithms for sentiment and importance scoring in device logs; implemented analytics using Python and R.

Lead Engineer, MSAT Data Science — Cell Therapy

Poseida Therapeutics · Sep 2019 – Feb 2021 · San Diego, CA

  • Led MSAT Data Science team supporting process development and clinical manufacturing for CAR T-cell programs.
  • Applied statistical modeling and ML to clinical/manufacturing data to inform product and process understanding.
  • Led clinical manufacturing investigations and contributed to multiple IND submissions.

Associate Consultant Scientist, Technical Services / Manufacturing Science — Commercial Recombinant Proteins

Eli Lilly and Company · 2015 – 2019 · Indianapolis, IN

  • Associate Consultant Scientist / Senior Scientist roles supporting commercial external manufacturing and insulin drug substance operations.
  • Managed CDMO oversight, process monitoring, and technology transfers.
  • Built statistical models to support specification changes and continuous process verification.
  • Led cleaning validation and GMP documentation improvements across commercial manufacturing sites.

Process Engineering Co-op

Johnson & Johnson · 2012 – 2014 · Cornelia, GA

  • Led process engineering support for polymer raw materials used in absorbable medical devices