# George Labaria > Staff Software Engineer, Drug Discovery at Eikon Therapeutics Location: San Mateo, California, United States Profile: https://flows.cv/georgelabaria I am a Staff Software Engineer at Eikon Therapeutics, specializing in building scientific software, data science, and machine learning applications throughout the drug discovery pipeline. Before Eikon Therapeutics, I worked at Genapsys, a biotechnology start-up developing a next-generation electronic-based DNA sequencing platform. At Genapsys, I developed novel labeling algorithms for training ML models for DNA sequencing, optimized sensor classification to refine biochemical parameters for sequencing development, and implemented filtering techniques that prevented low-quality sensors from base calling—reducing storage and computation needs by 8% My academic background is in applied mathematics and statistics. I hold a PhD in Applied Mathematics & Statistics from UC Santa Cruz. My PhD dissertation was on developing stochastic models to characterize DNA polymerase kinetics from single molecule experiments. I also hold a BA in Applied Mathematics from UC Berkeley. In my spare time, I enjoy rock climbing, backpacking, and taking landscape photos in California's beautiful Sierra Nevada. ## Work Experience ### Staff Software Engineer, Hit Identification and Experimental Results @ Eikon Therapeutics Jan 2025 – Present | Millbrae, California, United States ### Sr. Software Engineer, Data Science and Algorithms @ Eikon Therapeutics Jan 2022 – Jan 2025 | Hayward, California, United States ### Scientist II, Informatics @ Genapsys Jan 2021 – Jan 2022 | San Francisco Bay Area - Developed novel algorithms to automatically generate labels to train machine learning models for DNA sequencing which resulted in an average 0.3% increase of sequencing accuracy over previous labeling methods - Researched and developed methods to classify sensors which helped identify optimal biochemical parameters for the company’s next-generation sequencing platform - Created filtering algorithms to remove poor quality sensors to prevent them from being basecalled, resulting in about an 8% reduction in storage requirements and computing time in the analysis pipeline - Provided data analyses to perform system characterization, hypothesis testing and to help design targeted experiments to root cause anomaly observations and to validate hypotheses. - Increased productivity and drove decision making by developing statistical pipelines that provided insights into the error modes of the company’s DNA sequencing methods ### Scientist, Informatics @ Genapsys Jan 2020 – Jan 2021 | San Francisco Bay Area ### Data Science Fellow @ Insight Data Science Jan 2019 – Jan 2020 | San Francisco Bay Area - Built NextClimb, an interactive web-app (in Python and Flask) hosted on AWS for climbers that recommends climbing routes based on implicit and explicit user preference data scraped from MountainProject.com - Combined collaborative filtering based on matrix factorization and content-based filtering using natural language processing to create a hybrid recommender - Reconstructed hold-out user-ratings to within 0.6 on a user rating scale of 0-4 (over 13,000 users) and provided relevant recommendations (up to 87% mean-average precision, choosing among over 25,000 climbing routes) - Met tight deadlines by finishing this project from start to finish (idea conception, data gathering/cleaning, model selection/validation, and deployment) within 3 weeks ### Graduate Student Researcher @ University of California, Santa Cruz Jan 2018 – Jan 2019 | Santa Cruz, California, USA - Developed a stochastic (Markov) model to describe DNA replication - Created statistical inference tools to infer the kinetic details of DNA replication from experimental data - Established methodologies to determine optimal experimental conditions to reduce inference uncertainty using theoretical approaches and Monte Carlo simulation - Characterized the inference uncertainty using Monte Carlo simulation for a class of experiments used to study DNA replication, which lead to a more efficient iterative parameter tuning strategy - Used Markov theory to develop an upper and lower bound on the total number of biochemical states that can occur during the nucleotide incorporation step. ### Graduate Student Teaching Assistent @ University of California, Santa Cruz Jan 2013 – Jan 2018 Various appointments: Fall 2016 - Spring 2018 Taught discussion sections for Foundations of Applied Mathematics (AMS 211, graduate level, fall 2016); Numerical Analysis (AMS 147, upper-division level, winter 2017 and 2018); Calculus (AMS 11B, fall 2017); and Ordinary Differential Equations (AMS 20, spring 2017 and spring 2018). Advised, created assignments, and helped teach AMS 213B, a graduate level numerical solutions to ordinary and partial differential equations class in Spring 2018. Fall 2015 - Spring 2016 Taught discussion sections for AMS 211 (graduate introduction to applied mathematics), AMS 147 (numerical analysis), AMS 11A (differential calculus for economists), and AMS 11B (integral calculus for economists). Fall 2014 - Spring 2015 Taught discussion sections for AMS 131 (upper division Probability Theory), AMS 147 (Numerical Analysis), and AMS 20 (Ordinary Differential Equations for Engineers) Fall 2013 - Winter 2014 Taught discussion and lab sections for AMS 10 (Linear Algebra) and AMS 20 (Ordinary Differential Equations). ### Computational Engineering Intern @ Lawrence Livermore National Laboratory Jan 2012 – Jan 2017 | Livermore, California Various appointments: June 2016 - September 2017 (part time) - Worked on automated neutron source reconstruction and image registration algorithms in IDL and MATLAB - Created automated tools to detect saturated pixels which had an adverse effect on prior automated image processing algorithms - Implemented software in an automated production environment which saved hours per day of research physicists’ time hand-analyzing data - Continued development on automated image distortion-correction software in IDL for streak camera images June 2015 - September 2015 (full time) - Constructed an automated algorithm that was able to correct distortion artifacts for nearly all streak camera images, doubling temporal accuracy and quadrupling spatial accuracy measurements - Integrated software in data analysis pipelines which streamlined the analysis of images - Developed an automated spectral unfolding algorithm for a multi-channel X-ray spectrometer June 2014 - September 2014 (full time) - Created an automated image warp-correction algorithm for streak cameras in data analysis pipelines - Automated algorithm streamlined the analysis of streak camera images May 2012 - August 2012 (full time) - Developed automated signals processing software in IDL to extract metrics from observed gamma rays - Created automated data pre-processing pipelines to process gamma-ray data for use in analysis software - Fielded production level software for automated analysis pipelines, streamlining data processing and evaluation ### Mathematics Tutor @ Student Learning Center, University of California, Berkeley Jan 2010 – Jan 2013 Tutored lower division mathematics - Precalculus, Single and Multivariable Calculus, Linear Algebra and Differential Equations, and Discrete Mathematics ### Mathematics Reader for Math 53 (Multivariable Calculus) @ Student Learning Center, University of California, Berkeley Jan 2011 – Jan 2011 | Berkeley, California - Corrected student assignments in multi-variable calculus for the Spring 2011 and Summer 2011 semesters - Addressed student mistakes by providing individualized technical feedback . ### Mathematics Study Group Leader for Math 1B (Calculus II) @ Student Learning Center, University of California, Berkeley Jan 2011 – Jan 2011 | Berkeley, California Instructed a study group in undergraduate calculus to help prepare students to succeed in UC Berkeley’s rigorous mathematics environment by developing a curriculum, presenting lectures, creating problem sets, holding office hours, and providing individualized feedback to students. ### Mathematics Reader for Math H110 (Honors Linear Algebra) @ Department of Mathematics, University of California, Berkeley Jan 2011 – Jan 2011 | Berkeley, California Correct students' assignments for Math H110, an honors, upper-division mathematics course at UC Berkeley. ### Tutor and Teaching Assistant @ Grace M. Davis High Jan 2008 – Jan 2009 - Facilitated and assisted in the instruction of about 35 at-risk students in algebra in order to prepare them to succeed on the standardized state exams. - Held after school drop-in sessions to provide one-on-one instruction for students needing help in mathematics and the sciences; in particular, elementary algebra, geometry, trigonometry, precalculus, single variable calculus, physics, and biology ## Education ### Doctor of Philosophy (PhD) in Applied Mathematics and Statistics University of California, Santa Cruz ### Bachelor of Arts in Applied Mathematics University of California, Berkeley ### High School Diploma Grace M. Davis High ## Contact & Social - LinkedIn: https://linkedin.com/in/georgelabaria - Website: https://www.georgelabaria.com - Website: https://www.georgelabariaphoto.com --- Source: https://flows.cv/georgelabaria JSON Resume: https://flows.cv/georgelabaria/resume.json Last updated: 2026-04-01