Experience

TRexBio

• United States
• Biotechnology Research
• 1 - 100 Employee

• Senior Scientist - Computational Biology & Machine Learning

  • Oct 2022 - Present

• Scientist II - Computational Biology & Machine Learning

  • 2022 - Oct 2022

• Scientist - Computational Biology & Machine Learning

  • 2020 - 2022

  San Francisco Bay Area



Insight Data Science

• United States
• Higher Education
• 1 - 100 Employee

• Technical Advisor

  • 2019 - Present

  San Francisco Bay Area

• Fellow, Artificial Intelligence

  • 2019 - 2019

  San Francisco - Created a style similarity search library to reduce creative sourcing time by up to 95% for my client - Engineered a scalability-oriented architecture, implementing data-store partitioning to facilitate distributed computing and Facebook AI Research Similarity Search library for performant search - Combined methods in CNN embedding search and style transfer to develop a novel method



California State University - East Bay

• United States
• Higher Education
• 700 & Above Employee

• Advisory Council Member - Machine Learning and Big Data

  • 2022 - Present

  San Francisco Bay Area



Herophilus

• United States
• Biotechnology Research
• 1 - 100 Employee

• Machine Learning Scientist

  • 2019 - 2020

  San Francisco Bay Area



Nucleate

• United States
• Software Development
• 1 - 100 Employee

• Data Scientist

  • 2018 - 2019

  Boulder, CO - Developed and deployed computer vision and algorithmic trading models for venture capital clients, which served as primary revenue drivers - Implemented Bayesian hyperparameter optimization to reduce tuning time by approximately 80% - Designed a constraint-based model and recommender system that uses GIS, weather, and soil data to recommend individualized fertilizer mixtures and application dates to 1,000s of Sunday’s customers - Coached Sunday CEO’s initial product vision and… Show more - Developed and deployed computer vision and algorithmic trading models for venture capital clients, which served as primary revenue drivers - Implemented Bayesian hyperparameter optimization to reduce tuning time by approximately 80% - Designed a constraint-based model and recommender system that uses GIS, weather, and soil data to recommend individualized fertilizer mixtures and application dates to 1,000s of Sunday’s customers - Coached Sunday CEO’s initial product vision and implementation strategies for recommender system and collaborated with backend team to develop specifications and facilitate integrations Show less



optif.ai

• Wellness and Fitness Services

• Founder

  • 2018 - 2019

  Boulder, Colorado, United States A healthcare-integrated quantified-self platform to elucidate factors in chronic disease and variables in clinical studies. By offering a rich lifestyle data logging platform, we help clinical partners identify trends and confounds. We directly benefit patients by identifying lifestyle factors affecting their conditions via machine learning-enabled process optimization. - Iterated on product vision and roadmap based on market research (clinicians, consumers, and research organizations) -… Show more A healthcare-integrated quantified-self platform to elucidate factors in chronic disease and variables in clinical studies. By offering a rich lifestyle data logging platform, we help clinical partners identify trends and confounds. We directly benefit patients by identifying lifestyle factors affecting their conditions via machine learning-enabled process optimization. - Iterated on product vision and roadmap based on market research (clinicians, consumers, and research organizations) - Elucidated contributions of lifestyle factors to health via time series and ontological analyses - Modeled hierarchical patient heterogeneity based on biological data and time-series embedding - Optimized UX/UI flow, data aggregations, and visualizations for patient- and provider-facing applications - Planned HIPAA compliance adoption protocols Show less



Terumo Blood and Cell Technologies

• United States
• Medical Equipment Manufacturing
• 700 & Above Employee

• Systems Engineering Intern

  • 2017 - 2018

  Lakewood, CO - Built an anomaly detection system using XGBoost and statistical analysis to identify cases and causes of aberrant medical device behavior to eliminate a critical failure mode - Launched a platform to automatically preprocess data and generate visualizations adapted to data type, dimensionality, and volume to allow engineers to rapidly conduct EDA without any programming knowledge - Constructed data pipelines, statistical analyses, and SQL procedures for the systems engineering team and… Show more - Built an anomaly detection system using XGBoost and statistical analysis to identify cases and causes of aberrant medical device behavior to eliminate a critical failure mode - Launched a platform to automatically preprocess data and generate visualizations adapted to data type, dimensionality, and volume to allow engineers to rapidly conduct EDA without any programming knowledge - Constructed data pipelines, statistical analyses, and SQL procedures for the systems engineering team and acted as a liaison to the central data infrastructure team - Served as an adviser on data science software systems to the Department of People Analytics, suggesting optimal tools and strategies to construct new data warehousing, ETL, and machine learning pipelines Show less



University of Colorado

• United States
• Higher Education
• 700 & Above Employee

• Chemical Engineering Tutor

  • 2016 - 2017

• Undergraduate Researcher

  • 2015 - 2017

  Boulder, CO