About Tim
My career has required both broad knowledge, state-of-the-art depth, and constant learning and creativity.
My doctorate is in Biomedical Engineering because I couldn’t decide between bioscience and engineering—so I did both. My dissertation was on AI applied to neuroscience because intelligent systems were of general interest. Then my thirty-year career at MIT Lincoln Laboratory—twenty of it leading 40-80 person groups—touched numerous technology areas and industries, supplemented by my continuing interest in neuroscience, learning, and psychology. AI was a consistent thread through each job role. The experiential variety cultivated unique viewpoints on leadership, AI, transformation, learning, and work. Breadth allows me to bridge thought realms, quickly get up to speed on new topics, tackle and understand many perspectives, and to see the important but under-appreciated gaps. Depth means I can understand dense AI, bioscience, education research, and psychology publications and where they fit in the broader landscape of those fields.
In 2022, after twenty years leading research and development teams, I decided to make a giant leap to the user and strategy side of technology. The world no longer needs me developing more AI; they need me to help them deal with it.
My Resume
Work Experience
Dasey Consulting LLC (2022-present)
Custom consultation on AI and education, with emphasis on transformation, new business needs, and high-leverage initiatives.
Corporate training and consulting on AI and its implications
Authored Wisdom Factories: AI, Games, and the Education of a Modern Worker (6/23 publication)
Strategic consultation on AI and game-related matters for biotechnology and pharmaceutical companies. (2022)
Massachusetts Institute of Technology Lincoln Laboratory (1991-2022)
I was one of a small set of leaders who led the formation and growth of new business areas, including chemical and biological defense, public health, bioengineering, homeland security (critical infrastructure protection, disaster management, first responder technologies, border security), and military transportation, with initiatives eventually resulting in >$100M of additional funding. My performance review ratings were consistently “Excellent” or “Outstanding”.
Senior Researcher, AI Technologies (12/2020–3/2022)
Senior Researcher, Human Health and Performance Systems (12/2019–11/2020)
Leader, Informatics and Decision Support (2013–11/2019)
Leader / Associate Leader, Chemical and Biological Defense Systems (2001–2013)
Assistant Leader, Weather Sensing (1998-2001)
AI and software researcher, Weather Sensing (1991–1998)
Highlights
Leadership
Runner-up as “Best Leader” at Lincoln Lab, from ~250 leaders. (2017)
Grew and spun-off two new research groups, a rarity in the company.
Transformed software group into an AI group in three years during an external hiring freeze. (2014-2016)
AI group culture led to three times the typical proportion of women. (2014-2019)
Artificial Intelligence (AI) and Software
Co-inventor on patent 14/505262, “Systems and Methods for Composable Analytics”, leading to spinoff company. (2014)
Garnered funding, staffed, and mentored the development of numerous breakthrough AI techniques and capabilities.
Led the transition of technologies to operation in law enforcement, aviation, critical infrastructure protection, public health, logistics, and disaster management.
Education
Instructor for various leadership courses at MIT Lincoln Laboratory (1998-2020)
Led grant proposal on “Decision Thinking for Artificial Intelligence (AI) using Game‐Based Learning” with the Spokane, WA school district. (2020)
Led educational and decision analysis game development for various audiences. (2008-2019)
Science expert on several panels that educated State and local officials on counterterrorism. (2008-2010)
Educated Congressional staff on bioterrorism matters related to the 2001 Anthrax letters. (2001)
Summer session – Introductory Computer Programming for incoming freshmen from disadvantaged backgrounds, Rutgers University (1990-1991)
Lead instructor (including teach-the-teacher) on study skills for students on academic probation, Rutgers University (1988-1991)
Strategic Analysis
Analyzed AI enhancements to drug discovery and development, and games for improving pharmaceutical decision making. (2022)
Analyzed concepts for COVID-19 screening using AI voice analysis. (2020)
Presented a vision to the CDC and States for variants of COVID-19 Automatic Exposure Notification (AEN) app technology. (2020)
Led panel in allocation of ~$4M/year of internal biomedical research funding. (2019-2020)
Led development of the initial Biomedical AI portfolio strategy for the DoD Joint AI Center (JAIC). (2019)
Assisted video and image analytics roadmap for the U.S. Government. (2018)
Led biological defense studies for the U.S. Department of Homeland Security (DHS). (2002-2009)
Developed a military biological defense design and briefed results to the R&D lead for the entire military. (2002)
Degrees
Ph.D., Biomedical Engineering, Rutgers University, 3.9 GPA, 1991
Dissertation: “Unsupervised Global Optimization in the Classification of Handwritten Digits and Visual Evoked Potentials” (AI applied to neuroscience)
Additional research: Early visual system modeling, Artificial Neural Network (ANN) methods, image processing for dermatology, and neuron modeling.