Senior Data Scientist

• Apr 2023 - Present

Senior Machine Learning Scientist

• Jan 2023 - Apr 2023

• Enabled extraction of hundreds of thousands of accurate masks per 96 well organoid plate by designing, implementing and productionalizing custom, classical computer algorithms to segment microglia and synapses • Leveraged classical computer vision techniques to develop initial microglia masks, which, after curation, resulted in an effective dataset for training a deep learning UNet model • Successfully implemented and deployed batch pipelines using AWS Fargate, enabling efficient and… Show more • Enabled extraction of hundreds of thousands of accurate masks per 96 well organoid plate by designing, implementing and productionalizing custom, classical computer algorithms to segment microglia and synapses • Leveraged classical computer vision techniques to develop initial microglia masks, which, after curation, resulted in an effective dataset for training a deep learning UNet model • Successfully implemented and deployed batch pipelines using AWS Fargate, enabling efficient and cost-effective segmentation, feature extraction, and analysis of terabytes of 5D (c, z, t, x, y) confocal image stacks • Developed bioinformatics pipeline to process, analyze, and visualize Illumina Infinium MethylationEPIC gene chip data, resulting in the confirmation of a lead molecule's ability to promote hypomethylation • Developed Python-based web applications to effectively visualize analysis results and assist lab scientists in the selection of optimal media compositions for reproducible organoid growth

Machine Learning Scientist

• Nov 2021 - Dec 2022

Pharma Technical Operations: Digital Sciences Data Science Intern

• Jun 2021 - Nov 2021

• Designed and programmed a Python based bioprocess simulator capable of simultaneously replicating the behavior of several distinct processes at once, which tested robustness and scalability of Google Cloud based control system • Generated synthetic signal data with machine learning algorithms to test signal interpreting cloud infrastructure • Read through and organized a previous employee’s undocumented code and then improved and extended it • Wrote detailed manual for simulator… Show more • Designed and programmed a Python based bioprocess simulator capable of simultaneously replicating the behavior of several distinct processes at once, which tested robustness and scalability of Google Cloud based control system • Generated synthetic signal data with machine learning algorithms to test signal interpreting cloud infrastructure • Read through and organized a previous employee’s undocumented code and then improved and extended it • Wrote detailed manual for simulator, which documented software features, code structure and use cases Show less • Designed and programmed a Python based bioprocess simulator capable of simultaneously replicating the behavior of several distinct processes at once, which tested robustness and scalability of Google Cloud based control system • Generated synthetic signal data with machine learning algorithms to test signal interpreting cloud infrastructure • Read through and organized a previous employee’s undocumented code and then improved and extended it • Wrote detailed manual for simulator… Show more • Designed and programmed a Python based bioprocess simulator capable of simultaneously replicating the behavior of several distinct processes at once, which tested robustness and scalability of Google Cloud based control system • Generated synthetic signal data with machine learning algorithms to test signal interpreting cloud infrastructure • Read through and organized a previous employee’s undocumented code and then improved and extended it • Wrote detailed manual for simulator, which documented software features, code structure and use cases Show less

Graduate Teaching Assistant

• Sep 2019 - Jun 2021

• Led live Python labs on utilizing NumPy and Matplotlib to visualize PDE solutions improving students understanding of material • Independently led labs consisting of 30+ students and ensured a safe and positive environment • Taught complex chemical engineering concepts in an accessible and exciting way through the design of coffee

Graduate Student Researcher

• Jun 2018 - Jun 2021

• Utilized Scikit-learn to automate the exclusion of negative Raman spectra improving signal-to-noise ratio • Built convolution neural networks with TensorFlow to predict chemical concentrations from simulated spectra • Optimized biologic drug production in a bioreactor by estimating cell-culture growth parameters • Modeled anionic doping in organic semiconductors by developing a modified Langmuir Isotherm model • Screened materials for their CO2 capture ability with Grand… Show more • Utilized Scikit-learn to automate the exclusion of negative Raman spectra improving signal-to-noise ratio • Built convolution neural networks with TensorFlow to predict chemical concentrations from simulated spectra • Optimized biologic drug production in a bioreactor by estimating cell-culture growth parameters • Modeled anionic doping in organic semiconductors by developing a modified Langmuir Isotherm model • Screened materials for their CO2 capture ability with Grand canonical Monte Carlo (GCMC) simulations • Coordinated the development of a Python software package with Git and GitHub improving research workflows

Data Science Intern

• Jun 2020 - Sep 2020

• Improved lead ranking by developing a model to predict clients’ likelihoods to bind using billions of rows of data • Applied SQL to filter, clean and build a dataset used to train and identify a high performing ML model • Engineered a temporal feature which captured seasonal trends while avoiding bias, improving model accuracy • Communicated with team ensuring ML models were well understood and incorporated into business processes • Improved lead ranking by developing a model to predict clients’ likelihoods to bind using billions of rows of data • Applied SQL to filter, clean and build a dataset used to train and identify a high performing ML model • Engineered a temporal feature which captured seasonal trends while avoiding bias, improving model accuracy • Communicated with team ensuring ML models were well understood and incorporated into business processes

Middle School and High School Tutor

• Jan 2018 - Jun 2018

• Managed complex project meeting strict deadlines and documented progress by writing quarterly reports • Tutored twelve college bound students one-on-one and helped them complete math and chemistry homework • Communicated advanced mathematical concepts clearly, enhancing students’ understanding of material • Used Salesforce software to track students’ learning progress and noted improvements in students’ grades • Managed complex project meeting strict deadlines and documented progress by writing quarterly reports • Tutored twelve college bound students one-on-one and helped them complete math and chemistry homework • Communicated advanced mathematical concepts clearly, enhancing students’ understanding of material • Used Salesforce software to track students’ learning progress and noted improvements in students’ grades

Intern

• Jul 2017 - Mar 2018

• Designed a spreadsheet program that calculated a “risk-reward” ratio, allowing for better risk management • Processed over 20 gigabytes of option pricing data, and built a relational database allowing for strategy testing • Queried database and assessed the validity of option trading strategies leading to more rational trading • Designed a spreadsheet program that calculated a “risk-reward” ratio, allowing for better risk management • Processed over 20 gigabytes of option pricing data, and built a relational database allowing for strategy testing • Queried database and assessed the validity of option trading strategies leading to more rational trading

Undergraduate Research Assistant

• May 2016 - Aug 2016

• Designed and constructed a biological reactor system to determine if a certain strain of bacteria was metabolically active in the aerosol phase • Modeled an unsteady-state reactor system to assess an experiment’s feasibility • Operated flow cytometer to collect large data set and analyze a sample of bacteria

Undergraduate Research Assistant

• Jan 2016 - May 2016

• Learned laboratory techniques related to protein engineering such as PCR, and gel electrophoresis

VFP Student Intern

• May 2015 - Jul 2015

• Utilized nonlinear spectroscopy to perform environmental chemistry soil research • Processed and fit theoretical models to large sets of spectroscopy data • Entrusted to operate a laser system which utilized class IV lasers • Utilized nonlinear spectroscopy to perform environmental chemistry soil research • Processed and fit theoretical models to large sets of spectroscopy data • Entrusted to operate a laser system which utilized class IV lasers