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Building Data Platforms and Algorithmic Systems
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Assessing your cultural and operational fit
Building things for the future of life sciences. Previously for the government, then for automotive, then for all road-users.
The George Washington University
Master's in International Affairs, Science and Technology Policy
January 1, 2005 – January 1, 2008
University of Maryland
B.A., Government and Politics
January 1, 2000 – January 1, 2003
Biogen
Head of Data Science and Applied Machine Learning
November 1, 2023 – Present
Biogen
Head of Technology and AI, BDH Data
May 1, 2022 – November 1, 2023
Cavnue
Vice President of Machine Learning
June 1, 2021 – May 1, 2022
Cavnue
Head of Strategic Innovation
January 1, 2021 – June 1, 2021
General Motors
Chief AI/ML Scientist - GM IT
March 1, 2017 – January 1, 2021
General Motors
Sr. Artificial Intelligence/Computer Scientist
May 1, 2016 – March 1, 2017
Avicenna, LLC
Senior Partner/Founder
April 1, 2012 – May 1, 2016
Washington DC-Baltimore Area
PatientsLikeMe
Head of Public Health and Government Affairs
December 1, 2010 – April 1, 2012
Washington, DC and Cambridge, MA
Science and Technology Associates Inc.
Program Manager/Technical Analyst
June 1, 2004 – December 1, 2010
Henry M Jackson Foundation
Research Assistant
June 1, 2003 – June 1, 2004
Washington DC-Baltimore Area
United States House of Representatives
Intern
January 1, 2003 – May 1, 2003
Center for American Politics and Citizenship
Research Assistant
October 1, 2000 – January 1, 2003
Neuro Function, Activity, Structure, and Technology
December 1, 2013 – Present
Military personnel control sophisticated systems, experience extraordinary stress, and are subject to injury of the brain. To address these challenges, DARPA pursues innovative neurotechnology and advanced understanding of the brain using a multidisciplinary approach that combines data processing, mathematical modeling, and novel interfaces. The Neuro Function, Activity, Structure, and Technology (Neuro-FAST) program is part of a broader portfolio of programs within DARPA that support President Obama’s brain initiative. The program seeks to enable unprecedented visualization and decoding of brain activity.
Systems-Based Technology for Emerging Therapies
September 1, 2013 – Present
The Systems-Based Neurotechnology for Emerging Therapies (SUBNETS) program was created in response to a pressing need. Despite the continued best efforts of the Departments of Defense and Veterans Affairs to protect the health of U.S. servicemembers and veterans, the effects of neuropsychological illness brought on by war, traumatic injuries, and other experiences remain challenging to treat. Current approaches—surgery, medications, and psychotherapy—can often help to alleviate the worst effects of illnesses such as major depression and post-traumatic stress, but they are imprecise and not universally effective. Through SUBNETS, DARPA hopes to generate the knowledge and technology required to deliver relief to patients with otherwise intractable neuropsychological illness.
Restoring Active Memory (RAM)
September 1, 2013 – Present
Traumatic brain injury (TBI) is a serious cause of disability in the United States. Diagnosed in more than 270,000 military servicemembers since 2000 and affecting an estimated 1.7 million U.S. civilians each year1, TBI frequently results in an impaired ability to retrieve memories formed prior to injury and a reduced capacity to form or retain new memories following injury. Despite the scale of the problem, few effective therapies currently exist to mitigate the long-term consequences of TBI on memory. Through the Restoring Active Memory (RAM) program, DARPA seeks to accelerate the development of technology able to address this public health challenge and help servicemembers and others overcome memory deficits by developing new neuroprosthetics to bridge gaps in the injured brain.
PatientsLikeMe Open PRO Platform
January 1, 2013 – Present
While health outcome measures help doctors and other clinicians assess the effectiveness of care, those measures are typically developed in clinical settings, and collect information that is based on the needs and interests of researchers and the health care industry. With support from Pioneer, PatientsLikeMe will build a platform that engages patients in the development of patient-reported health outcome measures—measures that matter to patients in the real world. Using the platform, researchers will be able to work with PatientsLikeMe members to rapidly develop health outcome measures that better reflect patients’ experiences with a disease and how it is affecting their health and quality of life. Access to the new platform will be free, and all instruments and items developed on the platform will be made openly available for free, unlimited use and further development with no commercial restrictions. By providing open access to this information and focusing on what is meaningful to patients, this initiative has the potential to accelerate discovery, advance medicine, and improve health.
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards leadership and strategic roles in cutting-edge technology and science domains, particularly in AI/ML and neurotechnology. Their project experience, though described broadly, aligns with impactful, research-driven initiatives. The breadth of experience across federal agencies, startups, and large corporations suggests adaptability. However, the target role of 'Intern' is a severe mismatch for their experience level (26 years of experience), indicating a potential misalignment with typical intern expectations and career stage. This significant discrepancy suggests a poor cultural fit for an entry-level intern position, despite their impressive background.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and the ability to manage complex projects and teams. Their experience in interfacing with business stakeholders and aligning technical delivery with organizational goals suggests strong communication and collaboration skills. The entrepreneurial experience as a founder also indicates initiative and problem-solving capabilities. However, the target role of 'Intern (Data Science and Machine Learning)' is a significant mismatch for their extensive senior-level experience, which could lead to operational fit issues regarding expectations and responsibilities.