Taylor Chartier Email & Phone Number

Berkeley, CA

• Developing machine learning tools, probabilistic methods, and multivariate modeling strategies (e.g. Monte Carlo, PLS, OPLS, OPLS-DA, and hierarchical modeling) to enhance commercial cell culture and purification.
• Automating commercial data extraction from OSIsoft Time Series Database, data preprocessing, and multivariate model testing.
• Deployed a cell culture monitoring model with KNIME Server, which provides model outputs to company stakeholders.
• Leveraging neural networks with a ResNet fast.ai architecture to extract mass transfer and isotherm parameters from purification chromatograms.

Osaka, Japan

• Selected into global team to explore medication adherence technologies; introduced team to computer vision applications.

South San Francisco

• Utilized Mathematica to navigate through experimental and inventory data in git repositories.
• Operated software systems with respective instruments, which included automated liquid-handling Hamilton workstations.
• Performed chemical experiments according to both in-house research and customer requests, including mass spectrometry, lyophilization, HPLC, fluorescence kinetics, absorbance quantification, sample manipulations, and.

• Implemented DOE methods to develop and statistically support commercial drug characterization studies and BLA filing initiatives.
• Utilized JMP software to both screen and model key performance parameters of batch reactor growth and production phases. Received certificates for JMP training in Design of Experiment and ANOVA/Regression analysis.
• Applied principal component analysis (PCA) on serum constituents to characterize raw material.
• Supported upstream QbD strategy by quantitatively classifying cell culture critical performance parameters with JMP modeling. Introduced Multivariate Acceptable Range (MAR) approach to upstream characterization efforts.
• Developed linear upstream scale down model by evaluating drug substance and performance attributes.
• Statistically evaluated historical trends, commercial data, and laboratory scale data to support product life cycle management.

Honeoye Falls, NY

• Conducted ex-situ test stand infusions to screen extracts with organic and ionic contaminants produced by fuel cell materials for adverse effects on electrode, membrane, and membrane electrode assembly (MEA) fuel cell.
• Performed in-situ cyclic voltammetry experiments on leachant solutions to evaluate varying degrees of electrochemical surface area depletion and voltage recovery of Pt/V electrodes. Parasitic current Invention Method.

• Assisted department integrating novel technology into bulk, fine, and formulation stages of monoclonal antibody purification platform to optimize product stream purity while also conducting CHO bioreactor procedures to.
• Recommended single-use tangential flow filtration techniques for bioprocessing streams by conducting feed diafiltrations and concentrations to compare single-use membrane flux, permeability, and recovery performances.
• Independently validated integration of Pall’s novel Single-Pass Tangential Flow Filtration System into Merck’s purification platform by increasing purity, truncating residence time, and minimizing product loss in.

• Bioenergy laboratory formulating new strategies for efficient hydrogen and ethanol production of bacterium C. thermocellum.
• Elucidated DNA-binding properties of potential transcription factors through protein induction and purification techniques.
• Utilized BIO-RAD Experion, LightShift Chemiluminescent EMSA Kits, RoboCycler PCR, Thermo Scientific Spectrophotometer, and NanoScope Atomic Force Microscope (AFM) to characterize DNA-protein interactions in C..

Rochester, NY

• Member of intradepartmental team that developed methods for coating corrosive-resistant carbonyl iron particles with zirconia.
• Operated Colloidal Dynamics AcoustoSizer II, Brookfield Rheometer, and Brookhaven ZetaPALS to measure particle size, zeta potential, and dielectric constants of zirconia-coated carbonyl iron particles while refining a.

Master Of Science (Ms), Chemical Engineering

Doctor Of Philosophy - Phd, Artifical Intelligence Applications In Systems Biomedicine