Member Of Technical Staff - Machine Learning Engineer
Current- First ML engineer- Lots of 0 -> 1 stuff
Please complete the CAPTCHA to continue
@jhu.edu
✓
LinkedIn matched
A concise factual answer block for searchers comparing this professional profile.
Thomas Harrelson is listed as Member of Technical Staff - Machine Learning Engineer at Instance, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at jhu.edu and a matched LinkedIn profile for Thomas Harrelson.
Thomas Harrelson previously worked as Scientific Computing Engineering Manager at Emerald Cloud Lab and Senior Scientific Computing Engineer at Emerald Cloud Lab. Thomas Harrelson holds Doctor Of Philosophy (Phd), Chemical Engineering from University Of California, Davis.
This section adds company-level context without repeating Thomas Harrelson's masked contact details.
AeroLeads found 1 current-domain work email signal for Thomas Harrelson. Compare company email patterns before reaching out.
I am a Scientific Computing Engineering Manager at Emerald Cloud Lab (ECL), a biotechnology company that provides a cloud-based platform for conducting and managing laboratory experiments. I have over 5 years of experience in software engineering and scientific computing, with a PhD in Chemical Engineering from UC Davis.My mission is to develop tools that blur the line between experiment and computation, enabling our customers to accelerate their scientific discovery and innovation. I lead a team of engineers who build analysis, visualization, and simulation capabilities in our product, using cutting-edge technologies such as generative AI, large language models, and quantum computing. Some of our recent projects include creating products on top of GPT-3 and IBM Quantum that enhance the workflows and outcomes of our users. I am passionate about applying my skills and knowledge in computational chemistry, functional programming, and API development to solve complex and impactful problems in the biotechnology industry.
Listed skills include Microsoft Office, Confocal Microscopy, Microsoft Word, Data Analysis, and 13 others.
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
- First ML engineer- Lots of 0 -> 1 stuff
Led Cross-Functional Development Team: Managed a team of six software developers, focusing on high-velocity operations. Responsibilities included stakeholder management for business-critical product prioritization, development scope planning, blocker identification and resolution, and conducting retrospectives for continuous process improvement.AI Project.
Utilized DFT and machine learning to design materials for detecting dark matter, correlating structural characteristics with magnetic impurities in superconducting qubits.
As a Graduate Student Researcher, I specialized in computational analysis and predictive modeling within the field of organic semiconductors. My research was pivotal in understanding the structure-function relationships of these materials, leveraging advanced computational methodologies validated through neutron scattering experiments.Key Contributions and.
Oak Ridge National Laboratory
Theoretical/computational modeling of inelastic neutron scattering results.
San Carlos, CA
Contributed to early phase drug development projects focusing primarily on formulation of pulmonary therapeutics using a proprietary spray drying method.Built computational models of filtration processes to elucidate deviations between contradicting experimental results.
Built software and ran sequencing experiments to understand the structure and function of long-intergenic non-coding RNA (lincRNA) scaffolds.
Taken 40+ credit hours of graduate level courses in Chemical Engineering, Chemistry, Physics, and Materials Science departments. My thesis.
Quick answers generated from the profile data available on this page.
Thomas Harrelson works for Instance.
Thomas Harrelson is listed as Member of Technical Staff - Machine Learning Engineer at Instance.
AeroLeads has found 1 work email signal at @jhu.edu for Thomas Harrelson at Instance.
Thomas Harrelson is based in San Francisco Bay Area, United States, United States while working with Instance.
Thomas Harrelson has worked for Instance, Emerald Cloud Lab, Berkeley Lab, University Of California, Davis, and Oak Ridge National Laboratory.
You can use AeroLeads to view verified contact signals for Thomas Harrelson at Instance, including work email, phone, and LinkedIn data when available.
Thomas Harrelson holds Doctor Of Philosophy (Phd), Chemical Engineering from University Of California, Davis.
Thomas Harrelson is listed with skills including Microsoft Office, Confocal Microscopy, Microsoft Word, Data Analysis, Powerpoint, Research, Pcr, and Microsoft Excel.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contactsCheck these profiles if this is not the Thomas Harrelson you were looking for.