SUNY College at Geneseo Sep 2011 - May 2015

Bachelor of Science in Biochemistry

• Minors in mathematics and biomathematics.

Torch

Director of Data and Analytics Apr 2021 - Present

• Transitioned the Data and Analytics team into a stand-alone department within Torch's Technology Division, and built out a full roster of data analysts, analytics engineers, and data engineers. Along the way I fostered a team culture that emphasized personal and professional growth, accountability, and transparency.
• Worked with departments across the organization to create tools that positively impacted user experience in-app, sales and marketing motions, and financial analyses.
• Developed and evangelized our data warehouse and products, built using modern data tools such as dbt, Sisense for Cloud Data teams, Singer taps, and Redshift.

Lead, Data and Analytics Jun 2019 - Apr 2021

• Founded Torch’s Data and Analytics team to enable data-informed decision making through self-serve data access and advanced analytics across all of Torch. This nimble team includes analysts and engineers, and together we provide data products that support our customer experience, sales, marketing, finance, and product teams.
• Created a data warehouse to store all organizational data, leveraging dbt, git, and CI/CD to make it easy for analysts and engineers to contribute to data modeling and testing tasks while maintaining data and documentation quality.
• Trained members from various teams on how to use Sisense for Cloud Data teams for self-service reporting, and provided data team office hours to support external analysts in how to best use our data warehouse.

Senior Engineer Apr 2018 - Jun 2019

• As Torch’s founding engineer, I served as a leader of four full-stack engineers in the creation and maturation of a scalable leadership coaching platform from Seed funding through a $10M Series A funding round.
• Took part in multiple greenfield development opportunities including PoC analytical systems and third-party API integrations.
• Implemented and maintained multiple production AWS systems, including RDS databases, S3 buckets, queues, and Elasticache clusters leveraging Infrastructure-as-Code and CI/CD.

Delaware North CompaniesJan 2016 - Apr 2018

Data Engineer

• Responsible for the development and maintenance of Delaware North’s enterprise-wide data platform and data products. This included working with a diverse set of stakeholders including MLB and the NHL.
• Created a fully automated data validation system that identifies and corrects errors at over 50,000 records per minute.
• Spearheaded the design and creation of a fully automated framework to deploy Redshift data warehouses that stored analytically relevant subsets of Delaware North’s data platform.
• Performed research exploring applications of computer vision, voice recognition, conversational AI, and IoT devices in the hospitality industry and developer ergonomics.

OmniSeq, LLC Jun 2015 - Jan 2016

Software Developer

• Designed and implemented RESTful APIs and web applications for laboratory information systems, clinical report management, and medical informatics. These systems operated in a highly regulated environment and passed FDA and CLIA approvals for HIPPA and 21 CFR part 11.
• Developed new functionality for an internal Clinical Laboratory Information Management Systems (C-LIMS). This included sample management, navigating molecular diagnostics protocols, and research and development tools.
• Cultivated effective engineering and accountable quality assurance testing in a highly regulated industry.

Amazon Web Services

Certified DeveloperMay 2017 - May 2019

Certification verification code 7CZK4WECKB14Q4SY

Hutchison E, Yager NA, Taw MN, et al. Developmental stage influences chromosome segregation patterns and arrangement in the extremely polyploid, giant bacterium Epulopiscium sp. type B. Mol Microbiol. 2017. doi:10.1111/mmi.13860

Biomathematics Innovations Group Sep 2012 - May 2015

Projects: Statistical genomics, infectious disease epidemiology, computer vision, and game theory.
Methodologies: Text-mining, pattern recognition, computer vision, spatial statistics, agent-based modeling, deterministic modeling, graph theory, and ordinary differential equation models.

• Assisted over 20 student researchers in their ecological, statistical, and epidemiological research projects. This includes advising in experimental design, data collection and analysis, and training in the use of R and SAS.
• Moderating a weekly journal club in which students present their research progress for community collaboration.

University of Rochester Jun 2016 - Sep 2016

The Grossfield Laboratory, Department of Biochemistry

Project: Application of Markov State Models in the Statistical Analysis of Molecular Dynamics Simulations.
Methodologies: Markov models and processes, eigenanalysis, stochastic simulations, all-atom molecular dynamics simulations and massively-parallel high-performance computing.

Python Buffalo Jun 2017 - Present

Active participant in growing and enabling the Buffalo Python community, and presenter of multiple presentations.

Technical Reviewer Jun 2015 - Apr 2016

Reviewer for the books Mastering RStudio: Develop, Communicate, and Collaborate with R by Julian Hillebrand and Maximillian H. Nierhoff, and Unsupervised Learning with R by Erik Rodriguez Pacheco.