Experienced, versatile data scientist and full-stack developer. Python (5yrs), Javascript/Coffeescirpt (3 yrs) R (3yrs), C (3 yrs); Modern ML including Deep Neural Nets and Generative Probabilistic Models.
Senior Data Scientist
2017-
New York, NY
Metis is an award-winning Data Science Bootcamp—currently the only such bootcamp that is accredited. The 12 week bootcamp is a project-based curriculum that covers the breadth of the field of Data Science.
Corporate Training: developed materials for, led, and instructed corporate training projects at Intel, Vanguard, Blackrock, and Houghton Mifflin Harcourt. Topics included Intro to Data Science, Deep learning, Python.
Curriculum Design: Currently leading a team to re-design the data science curriculum to better serve instructors and target material to the data science industry.
CTO, Cofounder
2016-2017
New York, NY
Elektra is a wearables start-up building fabrics that pair electrical stimulation to apps. Verticals include accessibility, entertainment, communication, healthcare, VR, gaming, & military. Fundraising: 20k convertible note (1.5M cap, 20% discount). Competitions: The Bridge (Coca Cola’s Accelerator) finalist (ranked 22/200). AlphaLab Gear National Hardware Cup semi-finalist. Vogt Awards finalist (25k non-dilutive funding). XlerateHealth finalist. Bucks for Bright Ideas winner ($500 award, 10 hours consultation).
Proof of concept: Design and build proof of concept. Validate underlying technology, collect data on 100+ customer experiences in target audience and demonstrate product-market fit.
Scalable design: Lead engineering teams managing user data and designing a product at 10k/yr volume: electronics hardware, firmware, desktop app.
Human resources: Manage HR. Design collaborative, version controlled, company Handbook.
Research Assistant, PhD Candidate
2012-2017
Newark, NJ
Project manager: Manage a data science team developing FOSS tools for replicable cross-platform video data processing in the age of Big Data.
Web experiments: Design full-stack web apps for large-n (~1,000 Ss) behavioral experiments and administer through Amazon Mechanical Turk. Mentor data scientists in full-stack design.
Interdisciplinary research on machine teaching and learning: Published author on the foundations of learning and computational tractability of learning algorithms. Experience with modern machine learning techniques and mathematics.
Communication: Present work in journals and conferences. Manage lead author responsibilities on manuscripts, conference papers, and presentations.
Searcy, W.K. Vong, Lane & Shafto (In prep) Cause and affect: Subjectively rational causal inference about affective content.
Searcy (In prep) Levels of expressivity: Learning across incompatible representational levels
Searcy & Shafto (2016) Cooperative Inference: Features, objects, and collections. Psychological Review. PDF
Searcy & Shafto (2014) Learning biases for teaching boolean concepts. PDF
(2010) Energy Efficiency Comparisons of Wireless Communication Technology Options for Smart Grid Enabled Devices
MENG
University of Louisville
Electrical and Computer Engineering
University Fellowship Award (2 years Full tuition plus stipend)
MS
University of Louisville
Experimental Psychology: Cognitive Science
BS
University of Louisville
Electrical and Computer Engineering
National Merit Scholarship (5 years full tuition plus stipend)