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Matthew Baumgartner Email & Phone Number
Staff Data Scientist - Computational Chemistry at Valo Health
at
Valo Health
1 work email found
@takeda.com
LinkedIn matched
4 data sources
Profile completeness 100%
Current company
Role
Staff Data Scientist - Computational Chemistry at Valo Health
Location
Philadelphia, Pennsylvania, United States
Company size
Who is Matthew Baumgartner? Overview
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Quick answer
Matthew Baumgartner is listed as Staff Data Scientist - Computational Chemistry at Valo Health at Valo Health, a company with 193 employees, based in Philadelphia, Pennsylvania, United States. AeroLeads shows a work email signal at takeda.com and a matched LinkedIn profile for Matthew Baumgartner.
Matthew Baumgartner previously worked as Senior Scientist at Takeda and Senior Investigator at Roivant Sciences. Matthew Baumgartner holds Doctor Of Philosophy (Ph.D.), Computational Biology from University Of Pittsburgh.
Company email context
Email format at Valo Health
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{first}.{last}@takeda.com
86% confidence
AeroLeads found 1 current-domain work email signal for Matthew Baumgartner. Compare company email patterns before reaching out.
Profile bio
About Matthew Baumgartner
I apply and develop methods for computational drug discovery such as molecular modeling, molecular dynamics, docking, machine learning and data visualization. I have expertise in structure-based and ligand-based drug design across a variety of therapeutically relevant protein-protein interactions (PPIs). I graduated from the Computational Biology PhD Program at the University of Pittsburgh in February 2016 where I was advised by Dr. Carlos Camacho.
Listed skills include Research, Molecular Modeling, Python, Science, and 23 others.
Current workplace
Matthew Baumgartner's current company
Company context helps verify the profile and gives searchers a useful next step.
Valo Health
6 roles
Matthew Baumgartner work experience
A career timeline built from the work history available for this profile.
Senior Scientist
CurrentSupported multiple drug discovery projects through compound design, modeling and method development. A focus on workflow automation and the democratization of computational tools for drug discovery project teams.
Oct 2022 - Present
Senior Investigator
Computational chemist supporting drug discovery projects through structure-based design, molecular simulation, method development and workflow automation.
Sep 2021 - Aug 2022
Scientist - Computational Chemistry
Aug 2020 - Sep 2021
Research Scientist (Computational Chemistry)
Mar 2018 - Aug 2020
Marie Curie Post Doctoral Fellow
Aug 2016 - Feb 2018
2 education records
Matthew Baumgartner education
Doctor Of Philosophy (Ph.D.), Computational Biology
University Of Pittsburgh
Bachelor Of Science (Bs), Biological Sciences
University Of Pittsburgh
FAQ
Frequently asked questions about Matthew Baumgartner
Quick answers generated from the profile data available on this page.
What company does Matthew Baumgartner work for?
Matthew Baumgartner works for Valo Health.
What is Matthew Baumgartner's role at Valo Health?
Matthew Baumgartner is listed as Staff Data Scientist - Computational Chemistry at Valo Health at Valo Health.
What is Matthew Baumgartner's email address?
AeroLeads has found 1 work email signal at @takeda.com for Matthew Baumgartner at Valo Health.
Where is Matthew Baumgartner based?
Matthew Baumgartner is based in Philadelphia, Pennsylvania, United States while working with Valo Health.
What companies has Matthew Baumgartner worked for?
Matthew Baumgartner has worked for Valo Health, Takeda, Roivant Sciences, The Janssen Pharmaceutical Companies Of Johnson & Johnson, and Eli Lilly And Company.
How can I contact Matthew Baumgartner?
You can use AeroLeads to view verified contact signals for Matthew Baumgartner at Valo Health, including work email, phone, and LinkedIn data when available.
What schools did Matthew Baumgartner attend?
Matthew Baumgartner holds Doctor Of Philosophy (Ph.D.), Computational Biology from University Of Pittsburgh.
What skills is Matthew Baumgartner known for?
Matthew Baumgartner is listed with skills including Research, Molecular Modeling, Python, Science, C++, Statistics, Machine Learning, and Data Analysis.
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