Expert Details
Machine Learning, Computer Vision, Natural Language Processing, and AI
ID: 732693
California, USA
Now as CEO of a telemedicine and machine learning ophthalmology company, Expert developed an EHR, telemedicine, computer vision, and NLP system deployed into a network of 20 hospitals, and serves 300,000 patients and counting. The system achieves state-of-the-art detection, object recognition, hierarchical multi-label classification, and segmentation of eye diseases. The company and technology are backed by the leaders of the eye care and technology industries.
Expert also developed cutting-edge natural language understanding systems, involving state-of-the-art Question and Answer dataset performance, industrial-grade semantic compositionality, neural semantic frame parsing, semantic role labeling, and other NLU tasks.
Expert is available to consult in machine learning and natural language processing-related technologies and businesses.
Skills
• Executive/BD: Entrepreneurship, US-Asia business development, strategic licensing & contracts with Fortune 500 companies, product and engineering leadership, federal government contracts and grants, venture capital, leading Board of Directors
• Engineering: Product development & management, machine learning, natural language processing, data science, R&D, statistical modeling, physics (statistical mechanics, thermodynamics, optics)
• Computational: Python, PyTorch, Tensorflow, Keras, Caffe, Neon, Pandas, Jupyter, Scikit-learn, NLTK, CoreNLP, Gensim, Flask, Django, SparklingH2O, CVXPY, Spark, Zeppelin, Mathematica, Tableau, SAS JMP, R, Orange, AWS, Hadoop, Comsol, CST, CAD, SQL, Neo4J, Excel, Heroku, GPU distributed computing, web deployment, HTML, CSS
Software portfolio
• Natural language processing (NLP) hierarchical abstraction of ideas using skip-thought vectors, TextRank, and paraphrasing of large web documents; t-SNE semantic graph of hierarchical relationships between all individual ideas within documents (Conceptnet, Wordnet, Gensim, CoreNLP, NLTK, PPDB)
• Computer vision image classification: ensemble machine learning optimization including convolutional and recurrent neural networks. Exceeded doctor diagnostic accuracy on one TB of medical images.
• Architect of ERP+EHR database and set up the server for Employer business operations, office management, sales using MySQL, Pandas, Tableau
• Modular deep neural net exhibiting plasticity using energy constraints in cost function: >30% efficiency gain
• Event-driven, proprietary, quantitative finance engine (ensemble ML of fundamental+technical+NLP news events+hyperparameter opt.) uncovering underlying temporal dynamic structural features and leading indicators, returning >6000% over 10 years in backtesting, and out-performing the broad market in 12 months of forwarding testing on a risk-adjusted basis (Pandas, Theano, Keras, Sklearn)
• Electro/optical model of random resistor networks percolation theory, arbitrary material structures (max flow optim.)
Education
| Year | Degree | Subject | Institution |
|---|---|---|---|
| Year: 2008 | Degree: PhD | Subject: Electrical Engineering | Institution: Stanford University |
| Year: 2008 | Degree: B.A. | Subject: Physics (Honors), B.S.E. Materials Science Engineering (Award-winning thesis) | Institution: University of Pennsylvania |
Work History
| Years | Employer | Title | Department |
|---|---|---|---|
| Years: 2015 to Present | Employer: Undisclosed | Title: CEO | Department: |
Responsibilities:Finance, Technology, Leadership, Strategy, Product Management, Marketing, and Management.• Built expansive network of eye care clinics, staffed with doctors, served 300,000+ patients • Raised multi-million-dollar financing from the world’s leading eye care company, and world’s leading AI company • Led spin-out from Stanford, teams of PhDs, MDs, ODs across US+China, partnerships, technology, data, strategy • Built EHR+ERP+telemedicine platform w/ machine learning for automated diagnosis of disease, exceeding sensitivity and specificity of human ophthalmologists, in collaboration with one of the largest machine intelligence companies |
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| Years | Employer | Title | Department |
| Years: 2015 to 2016 | Employer: SynapsAI | Title: Founder and President | Department: |
Responsibilities:Consulting for companies in data science, machine intelligence, computer vision, natural language processing, predictive analytics, and startup business development. |
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| Years | Employer | Title | Department |
| Years: 2007 to 2015 | Employer: IonArmour | Title: Co-Founder, CTO & Principal | Department: |
Responsibilities:• Founded U.S.-China joint venture; led product, tech & business development and application engineering with Chairman of the Board to build global strategic partnerships, licensing the technology to market leaders: Apple, Samsung, LG, DoD• Defined and qualified business strategy and value proposition through 3 venture rounds; presented to >100 CEOs, corporate VPs, and senior government officials in the US, JP, CN; presented in bimonthly board mtgs. • Invented prototypes, applied machine learning to R&D, built proprietary US-Asia supply chains, managed production, negotiated customer & supplier contracts, and launched commercial products in retail (Best Buy, Walgreens, Staples) • Led business and R&D teams to successful completion of multi-million-dollar development contracts, exceeding specs • Hired and directed former General Manager of Sony, COO of Terumo, and former Secretary of the US Army |
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| Years | Employer | Title | Department |
| Years: 2008 to 2015 | Employer: Innova Dynamics | Title: Founder & CTO | Department: IonArmour |
Responsibilities:Technology, Strategy, Management• Raised >$30M in venture financing with co-founders, built a team of 50, and co-led company to acquisition • Invented core platform technologies: >40 patents and patents pending; built 3 R&D labs from scratch (30k sqft); built products pipeline worth >$100M in addressable sales; took technologies from the bench to production in Asia • Forged partnerships, joint development agreements & deals at both corporate executive and engineering levels across the US, JP, CN, KR, EU: Apple, Samsung, LG, Flextronics, PPG, BASF, Boeing • Secured 3 multi-million-dollar contracts; led as principal investigator to successful completion; annual presentations in Washington to government officials • Hired, trained, and managed >20 senior Ph.D. engineers and US/JP/CN business executives from Apple, GE, Corning • Led product + data science teams (machine learning, time series prediction, Python, Tableau, SAS JMP, SQL, R, OpenCV computer vision). Overhauled operations with automation: real-time data acquisition systems. Initiated and led R&D collaborations with Stanford, MIT, UC Berkeley, UCSF, US Army, US Naval Air Command |
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| Years | Employer | Title | Department |
| Years: 2008 to 2013 | Employer: Hydros | Title: Co-Founder, Board Director & Vice President | Department: |
Responsibilities:• Created product and business strategy at board meetings, through multi-million-dollar financing rounds, nationwide product launches in online and retail, and acquisition in 2013• Co-authored original business plan; hired CEO and COO; launched a viral product campaign |
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| Years | Employer | Title | Department |
| Years: 2006 to 2009 | Employer: University of Pennsylvania | Title: Researcher | Department: Department of Electrical Engineering |
Responsibilities:Co-invented the optical memristor; designed via computational modeling (FEM/FDTD) novel cloaking devices and nanocircuit boards operating at >100 THz frequencies• Discovered novel “fast-wave tunneling” phenomenon, then realized it in a university award-winning PCB metamaterial device. Advised by Prof. Nader Engheta, one of America’s Top 50 Leaders in Science & Technology, Scientific American |
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| Years | Employer | Title | Department |
| Years: 2007 to Present | Employer: Undisclosed | Title: Engineer | Department: |
Responsibilities:Applied insights from statistical machine learning on lithography process engineering to production |
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Government Experience
| Years | Agency | Role | Description |
|---|---|---|---|
| Years: 2010 to 2015 | Agency: USA National Science Foundation | Role: Principal Investigator | Description: Grantee of $1M SBIR grant |
| Years: 2009 to 2015 | Agency: USA DoD Army, NAVAIR | Role: Principal Investigator | Description: Contractor of $2M SBIR grants |
International Experience
| Years | Country / Region | Summary |
|---|---|---|
| Years: 2006 to 2018 | Country / Region: China, Taiwan, Hong Kong | Summary: Invented, developed and brought nanotechnology manufacturing technology into production in Asia. Innova Dynamics was acquired by one of the largest vendors in the Apple supply chain. |
Career Accomplishments
| Awards / Recognition |
|---|
| Entrepreneurial: Selected as one of "America's Best Expert Entrepreneurs" by Bloomberg BusinessWeek; BusinessWeek Special Report “America’s Most Promising Social Entrepreneurs”; Featured in Philadelphia Inquirer, Forbes, Reuters, MarketWatch; Angel Venture Fair Award; Early Stage East People’s Choice Award; Pricewaterhouse Coopers Eastern Technology Council “Company to watch”; Wharton Entrepreneurship Conference IP Award; Dell Social Innovation Competition Semi-finalist; Weiss Tech House Innovation Fund; Stanford Global Innovation Tournament winner; Wharton Business Plan Competition: People’s Choice Award, Gloeckner Award International: “Gifted Citizen” Award. Worldwide winner of Mondialogo Engineering Award (€15,000 Top Gold prize, selected from 1000+ international applicants) awarded by the UN and Daimler AG CEO Zetsche, recognizing appropriate technologies valuable to the UN Millennium Development Goals; 1 of 30 international finalists presenting to United Nations in Stuttgart, Germany. |
| Medical / Professional |
|---|
| Principal Investigator: three multi-million-dollar government contracts sponsored by DoD Army, DoD NAVAIR, and the National Science Foundation. First time principal investigator at age 23 securing $1M US Army contracts. |
| Publications and Patents Summary |
|---|
| Publications and Symposia: 8 |
Language Skills
| Language | Proficiency |
|---|---|
| English | Native |