Kui Tang Email & Phone Number
@hioscar.com
LinkedIn matched
Who is Kui Tang? Overview
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Kui Tang is listed as Senior AI Engineer at Oscar Health, a company with 2585 employees, based in New York, New York, United States. AeroLeads shows a work email signal at hioscar.com and a matched LinkedIn profile for Kui Tang.
Kui Tang previously worked as Senior Software Engineer, Tech Lead at Oscar Health and Software Engineer at Oscar Health. Kui Tang holds Master Of Science - Ms, Computer Science from Columbia University.
Email format at Oscar Health
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AeroLeads found 1 current-domain work email signal for Kui Tang. Compare company email patterns before reaching out.
About Kui Tang
Kui Tang is a Senior AI Engineer at Oscar Health. He possess expertise in machine learning, mathematics, statistics, probability theory, technical writing and 11 more skills. He is proficient in French. Colleagues describe him as "Simply put, Kui is well beyond his years. We hail one of the top development teams in NYC and Kui slid right in as a young college intern, generating the immediate respect of our most senior and accomplished computer scientists and machine learning experts. He's highly committed, has an immense work ethic, is incredibly creative in solving problems and applies a strong analytical rigor. But, his best quality is being pro-active and solving business problems prior to being requested to do so. In a single summer, he built the backbone of our new revenue products and assisted the team in validating the opportunity. If he were not in school, we would have hired him immediately to a full-time role. It was a pleasure working with Kui and look forward to watching his bright future unfold."
Listed skills include Machine Learning, Mathematics, Statistics, Probability Theory, and 12 others.
Kui Tang's current company
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Kui Tang work experience
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Senior Software Engineer, Tech Lead
Current
Software Engineer
Program Director For Research Science
- Implement and evaluate a machine-learning Early Warning System to notify clinicians about predicted mortality, cardiac arrest, and other adverse outcomes. Obtained performance competitive with the state of the art.
- Develop, maintain, and train colleagues on a data pipeline framework to codify knowledge of electronic health record (EHR) data. In use by c.a. 10 developers and data scientists throughout the organization.
- Collaborate with physicians, nurses, and administrators to incorporate clinical and administrative knowledge, user-centric design, and regulatory constraints (e.g. HIPAA, FDA, IRB) into operational and research data.
- Mentor and supervise junior analysts with navigating the data warehouse, statistical techniques, and presentation to senior leadership.
Graduate Student
- Researched novel models and algorithms in Bayesian inference, graphical models, and convex optimization with applications to natural language, vision, and economics.
- Published and presented peer-reviewed papers at top-tier conferences.
- Gave invited talks at other top universities, including Cambridge and UMass Amherst.
- Collaborated with faculty, postdocs, graduate students, and managed a team of 4 M.S. students to complete projects.
Teaching Assistant
- Held office hours and recitations to assist M.S. and Ph.D. students with assignments and research in machine learning.
- Gave substitute lectures for machine learning courses when professor was traveling.
Research Intern
- Researched novel vector embedding and matrix-factorization methods to model consumer demand and price elasticities.
- Developed scalable inference algorithms on large data and prepared manuscript for peer-reviewed publication.
Software Engineering Intern—Machine Learning
- Developed and evaluated a Bayesian hierarchical regression model of consumer demand.
- Parallelized and improved performance of production models, quadrupling training throughput.
- Presented methodology and results to business stakeholders.
Machine Learning Intern
- Developed a privacy-respecting advertising tool based on learned user preferences.
- Implemented and evaluated collaborative filtering algorithms from the academic literature.
Colleagues at Oscar Health
Other employees you can reach at hioscar.com. View company contacts for 2585 employees →
Meow Cat
Colleague at Oscar Health
Springfield, Ohio, United States, United States
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AK
Al Karabell
Colleague at Oscar Health
New York City Metropolitan Area, United States
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RL
Rob Lee
Colleague at Oscar Health
Livingston, New Jersey, United States, United States
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SR
Stan R.
Colleague at Oscar Health
United States, United States
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EB
Elijah Barth
Colleague at Oscar Health
Tempe, Arizona, United States, United States
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JF
Johnequa Furby
Colleague at Oscar Health
New York City Metropolitan Area, United States
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PN
Pearl Nagheer, Msw
Colleague at Oscar Health
Gainesville Metropolitan Area, United States
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RB
Rachel Blank
Colleague at Oscar Health
Greater Phoenix Area, United States
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RS
Rishi Shah
Colleague at Oscar Health
New York, New York, United States, United States
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JI
Jasmine I. Dean, Mha
Colleague at Oscar Health
Grand Rapids Metropolitan Area, United States
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Kui Tang education
Master Of Science - Ms, Computer Science
Bs, Applied Mathematics
Frequently asked questions about Kui Tang
Quick answers generated from the profile data available on this page.
What company does Kui Tang work for?
Kui Tang works for Oscar Health.
What is Kui Tang's role at Oscar Health?
Kui Tang is listed as Senior AI Engineer at Oscar Health.
What is Kui Tang's email address?
AeroLeads has found 1 work email signal at @hioscar.com for Kui Tang at Oscar Health.
Where is Kui Tang based?
Kui Tang is based in New York, New York, United States while working with Oscar Health.
What companies has Kui Tang worked for?
Kui Tang has worked for Oscar Health, Newyork-Presbyterian Hospital, Columbia University In The City Of New York, Microsoft, and Palantir Technologies.
Who are Kui Tang's colleagues at Oscar Health?
Kui Tang's colleagues at Oscar Health include Meow Cat, Al Karabell, Rob Lee, Stan R., and Elijah Barth.
How can I contact Kui Tang?
You can use AeroLeads to view verified contact signals for Kui Tang at Oscar Health, including work email, phone, and LinkedIn data when available.
What schools did Kui Tang attend?
Kui Tang holds Master Of Science - Ms, Computer Science from Columbia University.
What skills is Kui Tang known for?
Kui Tang is listed with skills including Machine Learning, Mathematics, Statistics, Probability Theory, Technical Writing, C++, Stochastic Processes, and Probability.
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