Mitchell Colby Email & Phone Number
@ssci.com
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Who is Mitchell Colby? Overview
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Mitchell Colby is listed as Principal Research Engineer, Group Lead for AI and ML Group at Scientific Systems, a with 98 employees, based in Greater Boston, United States. AeroLeads shows a work email signal at ssci.com and a matched LinkedIn profile for Mitchell Colby.
Mitchell Colby previously worked as Principal Research Engineer, Group Lead for AI/ML Group at Scientific Systems and Lead Research Engineer II, Group Lead for AI/ML Group at Scientific Systems. Mitchell Colby holds Doctor Of Philosophy (Ph.D.), Mechanical Engineering from Oregon State University.
Email format at Scientific Systems
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AeroLeads found 1 current-domain work email signal for Mitchell Colby. Compare company email patterns before reaching out.
About Mitchell Colby
I research collaborative autonomy, distributed machine learning, game theory, and distributed artificial intelligence in the defense space. My key goal is to leverage state of the art AI/ML/game theory techniques to solve real world problems in partially observable limited information environments.Algorithms: POMDPs, reinforcement learning, genetic algorithms, hidden Markov models, neural networks, Bayesian models, extensive form games.Problems of interest: Human-agent interactions, air operations in denied environments, cross-domain/cross-service collaborations, deceptive games, probabilistic adversarial modeling
Listed skills include C# Programming, Java Programming, Multiagent Systems, Artificial Intelligence, and 21 others.
Mitchell Colby's current company
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Mitchell Colby work experience
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Principal Research Engineer, Group Lead For Ai/Ml Group
Lead Research Engineer Ii, Group Lead For Ai/Ml Group
Lead Research Engineer, Assistant Group Lead For Ai/Ml Group
Senior Research Engineer Ii, Ai/Ml Group
1. Write proposals: I have secured ~$3M in funding to date2. PI/PM of various programs, including Teammate Aware Autonomy (TAA), Sequential Hypergames: Modeling, Specification, and Learning Based Synthesis of Deceptive Policies (SHADOW), and Adapting Cross Domain Kill Webs (ACK)3. Collaborative Operations in Denied Environments (CODE): Developed flight-tested genetic algorithms (which run onboard UAVs during flight) to optimize UAV distributions for (1) collaborative TDOA localization of emitting targets, and (2) collaborative jamming of specified targets.4. Adversarial Modeling for DBM Planning (AMDP): Developed POMDP-style tasking engine to optimize multi-aircraft mission plans against deceptive adversaries.
Senior Research Engineer
Postdoctoral Scholar
1. Running day-to-day operations of Autonomous Agents and Distributed Intelligence (AADI) Lab.2. I mentor graduate students in the AADI lab.3. Principal researcher on two Department of Energy grants: (i) developing algorithms to coordinate sensors (up to 10,000) in distributed sensor networks, and (ii) developing algorithms to model and control advanced hybrid energy systems4. Developing theoretical guarantees for multiagent learning algorithms
Graduate Research Assisstant
1. Columbia Power Technologies: Created a simulator to evaluate wave energy converter designs, and applied an evolutionary algorithm to optimize ballast design.2. Department of Energy: Used reinforcement learning and evolutionary algorithms to optimize the measurement accuracy of distributed sensor networks (up to 10,000 coordinating devices).3. Theoretical Work: applied evolutionary game theory to show the theoretical advantages of the dif- ference evaluation function (used in both reinforcement learning and cooperative coevolutionary algorithms).4. Software: Created a software library capable of modeling and simulating generic single- and multi-agent systems. Functionality includes abstract domain implementation and simple modifi- cation of experiment parameters such as reward/fitness assignment type.
Course Instructor: Me 456
1. Responsible for creating and grading homework sets, tests, and term projects2. Responsible for creating and presenting class lectures, as well as holding office hours to assist students3. Topics covered include probability theory, localization, mapping, SLAM, and path-planning
Intern Ii
Research learning-based control for multiagent payload directed flight, as well as statistical guarantees regarding the performance of the system.
Undergraduate Design Engineer
Designed and implemented design changes for Sheldon Manufacturing vacuum oven. Cycle time (time to heat and then cool oven chamber) was reduced by 70% using advanced cooling system, and custom gasket seal was replaced with standard o-ring to reduce replacement costs while maintaining 0.00025 atm vacuum pressure.
Colleagues at Scientific Systems
Other employees you can reach at ssci.com. View company contacts for 98 employees →
Dylan Markovic
Colleague at Scientific SystemsSan Antonio, Texas Metropolitan Area, United States
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Bettina Puzzo
Colleague at Scientific SystemsAlton Bay, New Hampshire, United States
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Jason Beach
Colleague at Scientific SystemsGreater Boston, United States
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Darrell Robison
Colleague at Scientific SystemsState College, Pennsylvania, United States
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Robert Sarian
Colleague at Scientific SystemsWoburn, Massachusetts, United States
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Chris Sconyers
Colleague at Scientific SystemsBoston, Massachusetts, United States
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Ryan Tomasetti
Colleague at Scientific SystemsWoburn, Massachusetts, United States
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Amy B.
Colleague at Scientific SystemsGreater Boston, United States
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Austin Glassner
Colleague at Scientific SystemsWashington, District Of Columbia, United States
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Henry Lione
Colleague at Scientific SystemsTrenton, New Jersey, United States
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Mitchell Colby education
Doctor Of Philosophy (Ph.D.), Mechanical Engineering
Master Of Science (M.S.), Mechanical Engineering
Bachelor Of Science (B.S.), Mechanical Engineering
Frequently asked questions about Mitchell Colby
Quick answers generated from the profile data available on this page.
What company does Mitchell Colby work for?
Mitchell Colby works for Scientific Systems.
What is Mitchell Colby's role at Scientific Systems?
Mitchell Colby is listed as Principal Research Engineer, Group Lead for AI and ML Group at Scientific Systems.
What is Mitchell Colby's email address?
AeroLeads has found 1 work email signal at @ssci.com for Mitchell Colby at Scientific Systems.
Where is Mitchell Colby based?
Mitchell Colby is based in Greater Boston, United States while working with Scientific Systems.
What companies has Mitchell Colby worked for?
Mitchell Colby has worked for Scientific Systems, Oregon State University, and Nasa Ames Research Center.
Who are Mitchell Colby's colleagues at Scientific Systems?
Mitchell Colby's colleagues at Scientific Systems include Dylan Markovic, Bettina Puzzo, Jason Beach, Darrell Robison, and Robert Sarian.
How can I contact Mitchell Colby?
You can use AeroLeads to view verified contact signals for Mitchell Colby at Scientific Systems, including work email, phone, and LinkedIn data when available.
What schools did Mitchell Colby attend?
Mitchell Colby holds Doctor Of Philosophy (Ph.D.), Mechanical Engineering from Oregon State University.
What skills is Mitchell Colby known for?
Mitchell Colby is listed with skills including C# Programming, Java Programming, Multiagent Systems, Artificial Intelligence, Python Programming, C++ Programming, Distributed Systems, and Optimization.
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