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Karthik Jagadeesh Email & Phone Number
Co-Founder
at
Drug-Discovery Startup
1 work email found
@berkeley.edu
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
Co-Founder
Location
San Francisco Bay Area, United States
Who is Karthik Jagadeesh? Overview
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Quick answer
Karthik Jagadeesh is listed as Co-Founder at Drug-Discovery Startup, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at berkeley.edu and a matched LinkedIn profile for Karthik Jagadeesh.
Karthik Jagadeesh previously worked as Co-Founder & CDO at Tensixty Biosciences and Postdoctoral Research Fellow at Broad Institute Of Mit And Harvard. Karthik Jagadeesh holds Doctor Of Philosophy (Ph.D.), Computer Science from Stanford University.
Company email context
Email format at Drug-Discovery Startup
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*@berkeley.edu
68% confidence
AeroLeads found 1 current-domain work email signal for Karthik Jagadeesh. Compare company email patterns before reaching out.
Profile bio
About Karthik Jagadeesh
I am a computer scientist and genome researcher working at the interface of computer science, statistics and biology to develop computational tools to effectively analyze massive biological data and further our understanding of human disease. I completed a Postdoctoral Fellowship at the Broad Institute of Harvard and MIT working with Aviv Regev and Alkes Price. I received my PhD in Computer Science from Stanford University working with Gill Bejerano. I received a BA with Honors in Applied Mathematics and BS in EECS from UC Berkeley.More details at: http://www.cs.stanford.edu/~kjag
Listed skills include Software Engineering, Machine Learning, Java, Algorithms, and 14 others.
Current workplace
Karthik Jagadeesh's current company
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6 roles
Karthik Jagadeesh work experience
A career timeline built from the work history available for this profile.
Co-Founder & Cdo
Current
Aug 2022 - Present
Postdoctoral Research Fellow
Computer Science + Statistics + Biology
Jan 2019 - Aug 2022
Phd Student
Developed machine learning models to predict variant pathogenicity (in Nature Genetics 2016 and 2019), information theoretic metrics to measure phenotype similarity (in Genetics in Medicine 2018) and cryptographic protocols to securely share sensitive patient genotype and phenotype data (in Science 2017).
Sep 2013 - Dec 2018
Software Engineer
May 2011 - Apr 2013
Software Engineering Intern
May 2010 - Aug 2010
3 education records
Karthik Jagadeesh education
Doctor Of Philosophy (Ph.D.), Computer Science
Stanford University
B.S., Electrical Engineering And Computer Sciences, Applied Mathematics
University Of California, Berkeley
Education record
Saratoga High School
FAQ
Frequently asked questions about Karthik Jagadeesh
Quick answers generated from the profile data available on this page.
What company does Karthik Jagadeesh work for?
Karthik Jagadeesh works for Drug-Discovery Startup.
What is Karthik Jagadeesh's role at Drug-Discovery Startup?
Karthik Jagadeesh is listed as Co-Founder at Drug-Discovery Startup.
What is Karthik Jagadeesh's email address?
AeroLeads has found 1 work email signal at @berkeley.edu for Karthik Jagadeesh at Drug-Discovery Startup.
Where is Karthik Jagadeesh based?
Karthik Jagadeesh is based in San Francisco Bay Area, United States while working with Drug-Discovery Startup.
What companies has Karthik Jagadeesh worked for?
Karthik Jagadeesh has worked for Drug-Discovery Startup, Tensixty Biosciences, Broad Institute Of Mit And Harvard, Stanford University, and Lexity (Acquired By Yahoo!).
How can I contact Karthik Jagadeesh?
You can use AeroLeads to view verified contact signals for Karthik Jagadeesh at Drug-Discovery Startup, including work email, phone, and LinkedIn data when available.
What schools did Karthik Jagadeesh attend?
Karthik Jagadeesh holds Doctor Of Philosophy (Ph.D.), Computer Science from Stanford University.
What skills is Karthik Jagadeesh known for?
Karthik Jagadeesh is listed with skills including Software Engineering, Machine Learning, Java, Algorithms, C, Computer Science, Data Analysis, and Python.
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