Lee Falin

Education

• PhD Genetics, Bioinformatics, and Computational Biology Virginia Tech: 2011

• Bachelor of Science in Computer Science University of Illinois Springfield: 2005

Academic Appointments

• Adjunct Faculty of Computer Science BYU-Pathway: 2024 – Present

• Adjunct Faculty of Computer Science University of the Cumberlands: 2023 – Present

• Assistant Professor of Computer Science Southern Virginia University: 2017 – 2018

• Visiting Faculty of Computer Science BYU-Idaho: 2014 – 2017

• Bioinformatician EMBL–European Bioinformatics Institute: 2012 – 2014

• Bioinformatics Research Assistant, Tyler Lab Virginia Bioinformatics Institute: 2006 – 2011

University Courses Designed & Taught

University Citizenship Assignments

• Digital Literacy Committee – SVU
• Course design council – BYU-Idaho
• AI Faculty Mentor – BYU-Idaho

Publications / Conference Presentations

• Ensembl Genomes 2016: more genomes, more complexity. Kersey, Paul; et al. – Nucl. Acids Res. (04 January 2016) 44 (D1): D574-D580

• Ensembl Genomes 2013: Scaling up access to genome-wide data. Kersey, Paul; et al. – Nucl. Acids Res. (1 January 2014) 42 (D1): D546-D552

• Using Interpolation to Estimate System Uncertainty in Gene Expression Experiments. Falin LJ, Tyler BM (2011) – PLoS ONE 6(7): e22071.

• Systems Uncertainty in Systems Biology & Gene Function Prediction Falin LJ (2011) – PhD Dissertation

• Adapting Teaching to the Needs of the Learner VT Hokie Stone Commemoration – 2010

• System Uncertainty in Gene Expression Data VT Graduate Research Symposium – 2010

• Microarray Data Inference ACC Interdisciplinary Forum for Discovery in the Life Sciences – 2010

• Microarray Data Inference ISCB Intelligent Systems for Molecular Biology – 2010

• OpenCL – Now everyone has a super computer (almost) Virginia Bioinformatics Institute – 2009

• Inference of Functional Modules in Regulatory Networks Virginia Bioinformatics Institute – 2007

Languages

• English: Native Speaker
• Brazilian Portuguese: CEFR C1 (Advanced Proficiency)

Selected Industry Experience

Data Engineer and Fullstack Developer

(Full-time) Mar 2023 – Present (Contract) Apr 2021 – Aug 2022

• Developed site-wide funnel and event tracking system, capturing over 1M events per month.

• Implemented anonymized A/B-testing framework to enable rapid goal-tracking and reporting.

• Performed quarterly data analysis on site traffic, user behavior, and partner integrations, generating actionable recommendations for web designers and product owners.

• Integrated internal systems with HelpScout, GitHub, and Paddle Billing APIs.

Lead Data Scientist - Featurespace

Aug 2022 – Mar 2023

• Led a team of data scientists developing machine learning models for financial fraud detection.

• Increased project scheduling capacity by over 50% by cross training an underutilized team.

• Led team in adopting best practices for GitLab use, issue documentation, and project management processes.

• Coordinated and assisted senior developers with code reviews.

• Worked with other team leads to design and pilot a cross-training program across our departments to help increase billable utilization of our consultancy team.

• Created project management procedures to streamline transferring projects between divisions.

Principal Software Developer / Owner at CrewPlannr

Aug 2019 – Jul 2020

• Developed an ML-based auto-scheduling SaaS product using React, NodeJS, and Firebase.

• Integrated with Stripe payment APIs for subscription-based payments.

• Oversaw sales and marketing, customer support, and user onboarding.

Data Science Consultant at Light & Lore

Jan 2017 – July 2019

• Used the CRISP-DM process model to develop custom heuristic algorithms and statistical methods to help clients solve data analysis, data visualization, and other machine learning problems.

• Implemented an efficient and accurate CAD Model analyzer for ITI Global’s CADIQ product, using Python and the Shapely geospatial analysis library.

Bioinformatician at EMBL-EBI – Sanger Wellcome Trust Campus, UK

Jul 2012 – May 2014

• Worked with international collaborators to help add over 30,000 genomic datasets to a bioinformatics SaaS research tool accessed by tens of thousands of users.

• Developed custom map-reduce algorithms in Perl and Python to efficiently process proteomics and metabolomics data using Platform LSF pipelines.

• Developed REST APIs used by thousands of researchers, accessing data from multiple datastores, including MySQL, Oracle, Neo4J, and MongoDB.

• Developed ML algorithms for protein function prediction and metabolomic network inference.

Bioinformatics Research Assistant at Virginia Bioinformatics Institute, Virginia Tech

Jul 2012 – May 2014

• Reduced microarray analysis costs by implementing novel statistical methods for quantifying uncertainty sample data using C and the GNU Scientific Library.

• Developed an oomycete genome browser using Perl visualization and analysis scripts.

• Developed microarray data processing pipelines in R, Perl, and C.

• Collaborated with other researchers on a variety of bioinformatics projects.

Principal Software Developer / Owner at Polarian

Jan 2005 – Mar 2008

• • Developed commercial screen capture software using OpenGL and Objective-C.

• Oversaw marketing, sales campaigns, and SEO strategies which led to $5k in sales the first year, and a 17x increase in sales revenue over the next 2 years.

• Negotiated acquisition of company in 2008.