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Jonny Tran Email & Phone Number
Founder
at
Extralit Labs
1 work email found
@uta.edu
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 86%
Who is Jonny Tran? Overview
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Quick answer
Jonny Tran is listed as Founder at Extralit Labs, based in Seattle, Washington, United States. AeroLeads shows a work email signal at uta.edu and a matched LinkedIn profile for Jonny Tran.
Jonny Tran previously worked as Open-Source Software Developer - AI & LLM at Extralit Open-Source Project and Research Scientist - Institute for Disease Modeling - AI & LLM at Bill & Melinda Gates Foundation. Jonny Tran holds Ph.D. In Computer Science, Machine Learning & Bioinformatics from The University Of Texas At Arlington.
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Email format at Extralit Labs
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*@uta.edu
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Profile bio
About Jonny Tran
Previously as a Research Scientist at the Bill & Melinda Gates Foundation, my mission focused on empowering global health scientists to create the most up-to-date and accurate scientific datasets to guide decision and modeling. Our team is currently revolutionizing how scientific knowledge is extracted, with an innovative AI-assisted tool that extracts valuable data from unstructured scientific documents to create comprehensive databases. By open-sourcing this tool, I am committed to accessibility and collaboration in the scientific community.My technical repertoire, coming a machine learning and software engineering background, encompasses developing and deploying optimized machine learning models on deep learning infrastructure. I have successfully tailored graph and NLP algorithms to address complex bioinformatics challenges, translating into multiple publications, machine learning models, and advancements in disease understanding. My work is propelled by a dedication to harnessing machine learning to uncover insights in vast unstructured and heterogeneous datasets, ultimately contributing to the fight against diseases such as cancer and Alzheimer's.
Current workplace
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8 roles
Jonny Tran work experience
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Open-Source Software Developer - Ai & Llm
Current
Extralit Open-Source Project
Developing an end-to-end solution for 3x faster and more accurate scientific literature data extraction.
Jun 2024 - Present
Research Scientist - Institute For Disease Modeling - Ai & Llm
Open-sourcing an AI-assisted data extraction tool to create databases from unstructured scientific literature.
Sep 2023 - Jun 2024
Graduate Research Assistant - Machine Learning And Bioinformatics
- Produced 6 publications in independent research to contribute novel ML methods in venues such as Pacific Symposium in Biocomputing, BMC Bioinformatics, and IEEE BIBM.
- Researched in lung cancer, melanoma, cardiovascular, and Alzheimer's diseases in efforts to identify biomarkers with statistics and classical ML.
- Led efforts to install and manage 6 GPU nodes, data servers, web servers, and deployed a deep learning infrastructure with JupyterHub on Kubernetes.
Aug 2015 - Dec 2022
Bioinformatics Intern - Ngs, Genomics, Data Science
- Collaborated with statisticians, bioinformaticians and genomics scientists to apply ML to QC of sequencing pipelines for clinical impact.
- Presented to cross-functional bioinformatics & manufacturing teams to define a set of actionable QC thresholds from clinical trials data.
- Architected a pipeline to harmonize 5 datasets, simulate 3 sequencing parameters, extract 100's of custom features from TBs of unstructured genomics data using Python & Spark. Optimized with dynamic programming, saving.
Aug 2021 - Feb 2022
Business Intelligence Intern - Data Engineering
- Maintained data processing pipelines to compute order processing dates by developing ETL code on IBM DataStage and scheduling automated jobs on enterprise Linux servers.
- Developed a general-purpose data visualization tool for business reports using Bokeh and Python to interface with Hadoop and Hive using SQL queries.
Jun 2015 - Aug 2015
Software Engineer Intern - Agile Web Development
- Developed front-end and back-end of a DevOps web app for project management from scratch that had been used by dozen of software dev teams internally.
- Collaborated in a mid-size team using the Agile methodology, from gathering customer requirements to production deployment.
Jun 2014 - Aug 2014
Undergraduate Research Assistant
Center For Research In Wireless Mobility And Networking (Crewman)
- Developed graph isomorphism visualizations to identify motif mappings between Gene Regulatory Network and Wireless Sensor Networks in order to achieve a more robust biology-inspired topological layout.
May 2013 - Aug 2013
2 education records
Jonny Tran education
Ph.D. In Computer Science, Machine Learning & Bioinformatics
The University Of Texas At Arlington
B.S. In Computer Science, Software Development
The University Of Texas At Arlington
FAQ
Frequently asked questions about Jonny Tran
Quick answers generated from the profile data available on this page.
What company does Jonny Tran work for?
Jonny Tran works for Extralit Labs.
What is Jonny Tran's role at Extralit Labs?
Jonny Tran is listed as Founder at Extralit Labs.
What is Jonny Tran's email address?
AeroLeads has found 1 work email signal at @uta.edu for Jonny Tran at Extralit Labs.
Where is Jonny Tran based?
Jonny Tran is based in Seattle, Washington, United States while working with Extralit Labs.
What companies has Jonny Tran worked for?
Jonny Tran has worked for Extralit Labs, Extralit Open-Source Project, Bill & Melinda Gates Foundation, Computer Science And Engineering At Ut Arlington, and Genentech.
How can I contact Jonny Tran?
You can use AeroLeads to view verified contact signals for Jonny Tran at Extralit Labs, including work email, phone, and LinkedIn data when available.
What schools did Jonny Tran attend?
Jonny Tran holds Ph.D. In Computer Science, Machine Learning & Bioinformatics from The University Of Texas At Arlington.
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