AeroLeads people directory · profile
Keith Ma Email & Phone Number
Data Engineer
at
hum.ai
1 work email found
@indigoag.com
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Current company
Role
Data Engineer
Location
Hanover, New Hampshire, United States
Company size
Who is Keith Ma? Overview
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Quick answer
Keith Ma is listed as Data Engineer at hum.ai, a with 12 employees, based in Hanover, New Hampshire, United States. AeroLeads shows a work email signal at indigoag.com and a matched LinkedIn profile for Keith Ma.
Keith Ma previously worked as Data Engineer at Coastal Carbon and Staff Software Engineer at Indigo. Keith Ma holds Master Of Philosophy - Mphil, Geology & Geophysics from Yale University.
Company email context
Email format at hum.ai
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{first_initial}{last}@indigoag.com
86% confidence
AeroLeads found 1 current-domain work email signal for Keith Ma. Compare company email patterns before reaching out.
Profile bio
About Keith Ma
Experienced and adaptable software engineer and data scientist. Interested in data and analytical tools of all types, but especially geospatial data and machine learning.
Listed skills include Science, Research, Machine Learning, Data Analysis, and 7 others.
Current workplace
Keith Ma's current company
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12 roles
Keith Ma work experience
A career timeline built from the work history available for this profile.
Data Engineer
Current
Dec 2024 - Present
Staff Software Engineer
Mar 2023 - Dec 2024
Senior Software Engineer
Dec 2018 - Mar 2023
Technical Advisor
Jun 2019 - Aug 2019
Software Engineer
Aug 2018 - Jan 2019
Data Science Fellow
Built a navigation app that optimizes for comfortable outdoor travel by simulating sunlight along potential routes from dense LiDAR points and the OpenStreetMap graph (Parasol, http://parasol.allnans.com)
Jun 2018 - Aug 2018
Research Scientist
Applied machine learning research and software development for a wide range of Department of Defense agencies (DARPA, ONR, MDA, etc) and applications (proactive decision support, sensor fusion, artificial intelligence, etc).
Jun 2016 - Jun 2018
Scientific Programmer / Analyst, Research Computing
Designed, implemented, optimized, and parallelized research software and computational workflows to support projects in many disciplines, with an emphasis on leveraging HPC clusters to enable analysis of larger datasets and more complex simulations
Sep 2014 - Jun 2016
Phd Candidate In Geology & Geophysics
Dissertation: The Impact of Glaciers on Mountain Topography in Patagonia Over the Past 6 Million Years
Sep 2007 - Sep 2014
Field Research Manager
Juneau Icefield Research Program
Managed logistics and safety and conducted sampling and surveying for a field research program.
Jun 2007 - Aug 2007
Teaching Fellow
Princeton In Asia
Led the development and implementation of a bilingual language program that served ~1,800 students, while concurrently teaching twenty classes per week
Aug 2005 - Jun 2007
2 education records
Keith Ma education
Master Of Philosophy - Mphil, Geology & Geophysics
Yale University
Bachelor Of Arts (B.A.), Geology - Biology
Brown University
FAQ
Frequently asked questions about Keith Ma
Quick answers generated from the profile data available on this page.
What company does Keith Ma work for?
Keith Ma works for hum.ai.
What is Keith Ma's role at hum.ai?
Keith Ma is listed as Data Engineer at hum.ai.
What is Keith Ma's email address?
AeroLeads has found 1 work email signal at @indigoag.com for Keith Ma at hum.ai.
Where is Keith Ma based?
Keith Ma is based in Hanover, New Hampshire, United States while working with hum.ai.
What companies has Keith Ma worked for?
Keith Ma has worked for Hum.Ai, Coastal Carbon, Indigo, Insight Data Science, and Telluslabs.
How can I contact Keith Ma?
You can use AeroLeads to view verified contact signals for Keith Ma at hum.ai, including work email, phone, and LinkedIn data when available.
What schools did Keith Ma attend?
Keith Ma holds Master Of Philosophy - Mphil, Geology & Geophysics from Yale University.
What skills is Keith Ma known for?
Keith Ma is listed with skills including Science, Research, Machine Learning, Data Analysis, Teaching, Software Development, Scientific Computing, and Statistics.
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