Uri Laserson
Algo Developer at Hudson River Trading
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolUri Laserson is an algorithm developer and scientific founder with 15 years of experience building scalable computational biology and machine learning systems across startups, academia, and production-driven engineering teams. He co-founded and led Patch Bio as CTO, combining high-throughput sequencing assays with ML to discover synthetic regulatory elements, raised seed capital and secured a major pharma partnership before the company was acquired by Ginkgo. His background spans hands-on backend engineering—contributions to projects like ADAM (genomics on Spark), impyla, Numba, and Ibis—and leading AI research and data integration at Ginkgo and Hudson River Trading. Trained at MIT (PhD) with early work that scaled antibody sequencing by 100x, he blends wet-lab intuition with systems-level software design and distributed data-processing expertise. Colleagues rely on him to bridge experiment design, large-scale data pipelines, and model development, and he has a knack for shipping pragmatic serialization, performance, and type-handling fixes found in widely used open-source tooling.
15 years of coding experience
22 years of employment as a software developer
PhD Biomedical Engineering and Computational Biology, PhD Biomedical Engineering and Computational Biology at Massachusetts Institute of TechnologyBA Mathematics and Biology, BA Mathematics and Biology at New York University
Hebrew
Stackoverflow
2,411reputation
2.2mreached
8answers
33questions
Github Skills (44)
spark10
datatypes10
python10
machine-learning10
apache10
java10
numpy10
scala10
javas10
compiler-compiler10
sql10
parquet10
bioinformatics10
compiler10
compression10
Programming languages (14)
Github contributions (5)
cloudera/impyla
May 2013 - Feb 2016
Python DB API 2.0 client for Impala and Hive (HiveServer2 protocol)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:256 commits, 54 PRs, 90 pushes in 2 years 9 months
Contributions summary:Uri's contributions primarily involve implementing features and fixing bugs in the Python client for the Impala distributed query engine. They added support for new features like parameterizable queries and improved the existing API functionality for handling data types such as TIMESTAMP and DECIMAL. The user also refactored the code for modularity and enhanced the internal logging systems for improved debugging and monitoring.
hiveserver2python
sryza/aas
Nov 2014 - Feb 2017
Code to accompany Advanced Analytics with Spark from O'Reilly Media
Role in this project:Data Scientist
Data ScientistContributions:23 commits, 9 pushes, 6 comments in 2 years 3 months
Contributions summary:Uri contributed to genomics data analysis and predictive modeling. They implemented code for transcription factor (TF) prediction, including loading and processing genomics data (phylop, gencode, DNase, ChIP-seq). The user designed and utilized a motif scoring function and integrated the results into a model generating features such as phylop scores, and distances to transcription start sites. The changes also include the addition of a 1000 Genome analysis framework.
spark
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