Experience

Clarifai

• United States
• Software Development
• 1 - 100 Employee

• Research Manager

  • 2022 - Present

  Clarifai is a small business and industry leader in applied Machine Learning solutions for public sector and commercial customers, where I perform the following roles: - Train, validate, tune, containerize, and deliver state-of-the-art Machine Learning models for detection and tracking of objects of interest in full motion video and static imagery on highly secure computing environments - Lead technical direction and manage professional development of Machine Learning research scientists - Identify business opportunities and collaborate with sales, marketing, and professional service teams to pursue leads Show less



Institute for Defense Analyses

• United States
• Defense and Space Manufacturing
• 700 & Above Employee

• Research Staff Member and Portfolio Leader

  • 2018 - 2022

  The Institute for Defense Analyses is a corporation that provides scientific consultation to the U.S. government on national security problems, where I served in the following roles: - Expanded business to quadruple revenue from 3 customers in the Department of Defense and Intelligence Community - Scoped new customer requirements, matched technical solutions to customers' strategic objectives, and iterated on novel technology needed for spiral development, including: * Traveled to active war zone to observe and interview officers using the military's flagship Machine Learning system to identify targets of interest in motion imagery, Recommended 5+ opportunities for improving user experience * Transformed customer's process for measuring the impact of novel Machine Learning systems, expanding from technical metrics like Precision and Recall to utility metrics that document improved efficiencies in user workflows * Launched $130k corporate effort in Influence Operations to build multi-disciplinary team and supervise junior scientists using open-source natural language processing tools for semi-automated analyses of social media data, uncovering 4 distinct phases of Russia's efforts to engage with Americans in the 2016 election - Founding member of Diversity, Equity & Inclusion working group to restructure corporate training programs, recruit and retain diverse employees, launch employee affiliation groups, and celebrate holidays like Hispanic Heritage Month Show less



OSD Cost Assessment & Program Evaluation (CAPE)

• United States
• Defense & Space
• 1 - 100 Employee

• Senior Embedded Analyst

  • 2017 - 2018

  OSD CAPE is the Pentagon's premier analytic shop, where I developed a strategic overview for the Secretary of Defense on opportunities and limitations of Machine Learning throughout the Department of Defense and Intelligence Community to inform the $600+ billion/year military budget OSD CAPE is the Pentagon's premier analytic shop, where I developed a strategic overview for the Secretary of Defense on opportunities and limitations of Machine Learning throughout the Department of Defense and Intelligence Community to inform the $600+ billion/year military budget



NASA - National Aeronautics and Space Administration

• United States
• Aviation and Aerospace Component Manufacturing
• 700 & Above Employee

• Mission Specialist, HERA XIV

  • Jul 2017 - Sep 2017

  NASA's Human Exploration Research Analog (HERA) is multi-year experiment to investigate the physiological and psychological effects of isolation, confinement, and remote conditions in deep space scenarios, where I performed the following roles: - Served in a 4-person crew inside a 600-square-foot mock spacecraft for 23 days to simulate a deep space voyage - Trained 4-8 hours/day in virtual reality and other NASA simulators for spacecraft operations and extravehicular activities - Outreached to young women and girls in STEM, fielding interviews and delivering speaking engagements I was selected in the top 2.5% (450/18,000) of candidates for NASA's 2017 Astronaut Selection Program Show less



Institute for Defense Analyses

• United States
• Defense and Space Manufacturing
• 700 & Above Employee

• Research Staff Member and Project Leader

  • 2007 - 2017

  The Institute for Defense Analyses is a corporation that provides scientific consultation to the U.S. government on national security problems, where I led 5 teams of 3-8 inter-disciplinary researchers and managed budgets of $100K-1M/year on Data Science applications, including: - Designed and executed computational methods and regulatory process to field-test 10+ novel sensors and algorithms that find 100% of unexploded ordnance buried in the ground while reducing false alarms by over 40%, pulling 2 end-to-end systems from R&D through regulatory approval and into commercial use by 15 accredited companies - Developed agent-based computational model to demonstrate proof-of-concept of how even moderate-grade sensors could support graph-based data analytics methods to promptly detect and track all 14 key persons of interest moving through a town of 4000+ inhabitants over 2+ days, with an 83% reduction in false alarms - Architected and developed computational model to estimate 4 types of effects of less-than-lethal weapons on human targets in military scenarios, achieving a score of 83 on the System Usability Scale (80+ = excellent) and leading to shortened schedules, reduced costs, and less risk for human subject testing programs in the military Show less



Boston Scientific

• United States
• Medical Equipment Manufacturing
• 700 & Above Employee

• Principal Research Scientist

  • 2003 - 2007

  Boston Scientific (originally Guidant Corporation) is a multinational, publicly-traded corporation of 30,000+ employees that designs and manufactures medical devices, where I performed the following roles: - Invented algorithms for implantable cardiac devices to autonomously diagnose and treat lethal cardiac arrhythmias - Filed patent applications protecting algorithms with 40+ patents issued - Designed and executed two 10-center clinical studies to prove algorithms' feasibility in specific patient populations Show less