# Alexander Trevelyan > Staff Software, Glyphic Bio | Physics PhD | Bioinformatics, NGS, Instrument Control Location: San Francisco Bay Area, United States Profile: https://flows.cv/alexandertrevelyan ## Work Experience ### Staff Software Engineer @ Glyphic Biotechnologies Jan 2024 – Present ### Staff Software Engineer @ Ruby Robotics Jan 2024 – Jan 2024 ### Senior Software Engineer @ Deepcell, Inc. Jan 2022 – Jan 2024 Instrument software (C#) for R&D projects, leading development for next generation and internal instrument prototypes. Collaboration and problem solving with a diverse team of hardware, microfluidic, FPGA, and ML engineers. Designed software analysis tools for tracking the performance of single cell imaging at 1,000+ FPS. ### Senior Software Engineer @ GenapSys, Inc. Jan 2019 – Jan 2022 Software development (Python, C) and algorithm optimization of the GenapSys bioinformatics pipeline. Played a significant role designing and optimizing the customer-facing version of our analysis pipeline in order to support our product launch in Q4 2019. • Refined code via Cython, architecture changes, Unix piping (to/from samtools, bwa, bbmap, etc.), and general algorithm improvements (e.g. aho-corasick for DNA subsequence searches), delivering numerous 10x+ speedups and 3x+ reductions in RAM overhead. • Developed pipeline for converting machine learning models trained in Tensorflow to TensorRT, boosting inference speed by 2x+. • Created and helped manage and develop multiple GitHub repositories that interface with the primary bioinformatics pipeline. ### Senior Scientist @ OmniPreSense Corporation Jan 2018 – Jan 2019 | San Francisco Bay Area Leading development of machine learning algorithms for radar tracking applications. Deploying convolutional neural networks on ARM microprocessors, trained in Tensorflow using data from simulations that I created in Python. ### Python Developer @ TAARCOM Jan 2018 – Jan 2019 | Santa Clara, CA Ground-up creation (as sole developer) of new data management platform in Python using Pandas and PyQt. Incorporated 125k+ sales records and account list of 4.5k+ customers. Significantly reduced time to process and integrate new invoices into database. Developed GUI application for automatic assignment of salespeople to new accounts, including a tool to capture and record follow-up information from salespeople. See Projects section below for link to all relevant code on GitHub. ### Graduate Research Assistant @ University of Oregon Jan 2011 – Jan 2018 | Eugene, Oregon Area Working in Eric Corwin's lab (http://corwinlab.uoregon.edu/), I developed and characterized a new scheme for network growth (see publications and projects for a full description and code base), first by grounding myself in the current state of the research, then making fresh insights into unexplored territory within the field of nonequilibrium Network Theory. This involved writing statistical simulations in Matlab that were run on the ACISS Supercomputing Cluster at University of Oregon. Using the data from the simulations I coded, I performed finite-size scaling analysis in order to characterize the new phase transition and critical behavior of the growth scheme that I developed. This led to a first-author Rapid Communication in Physical Review E, which I wrote with valuable input from my advisor and a postdoc in our lab. Prior to my work on Network Theory, I derived and coded an updated microscopic model of Johnson-Nyquist Noise extensible to strongly non-equilibrium variations of the original system. This required a new approach to the underlying theoretical physics as well as implementation in Matlab and C++. ## Education ### Doctor of Philosophy (Ph.D.) in Physics University of Oregon ### Bachelor’s Degree in Engineering Physics Loyola Marymount University ## Contact & Social - LinkedIn: https://linkedin.com/in/ajtrev --- Source: https://flows.cv/alexandertrevelyan JSON Resume: https://flows.cv/alexandertrevelyan/resume.json Last updated: 2026-04-01