Feng "Bill" Shi Email & Phone Number
@uchicago.edu
1 phone found area 919
LinkedIn matched
Who is Feng "Bill" Shi? Overview
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Feng "Bill" Shi is listed as Co-Founder and CTO at Pond, a company with 20 employees, based in Greater Seattle Area, United States, United States. AeroLeads shows a work email signal at uchicago.edu, phone signal with area code 919, and a matched LinkedIn profile for Feng "Bill" Shi.
Feng "Bill" Shi previously worked as Co-Founder & CTO at Pond and Sr ML Architect/Manager at Tigergraph. Feng "Bill" Shi holds Ph.D., Applied Mathematics from University Of North Carolina At Chapel Hill.
Email format at Pond
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AeroLeads found 1 current-domain work email signal for Feng "Bill" Shi. Compare company email patterns before reaching out.
About Feng "Bill" Shi
Feng "Bill" Shi is a Co-Founder and CTO at Pond. He possess expertise in sas, r, matlab, applied mathematics, numerical analysis and 28 more skills.
Listed skills include Sas, R, Matlab, Applied Mathematics, and 29 others.
Feng "Bill" Shi's current company
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Feng "Bill" Shi work experience
A career timeline built from the work history available for this profile.
Sr Ml Architect/Manager
- Built and managed the ML engineering team- Led the development of multiple products including ML workbench, a platform for graph ML andTigerGraph CoPilot, an AI toolkit for TigerGraph- Worked directly with potential customers to address their business problems such as fraud and churn- Collaborated with top researchers from academia and industry on graph ML
Applied Scientist
- Led a team of scientists and engineers to solve recommender systems problems for internal teams- Led research in reinforcement learning on graphs with application in explainable recommendations- Developed sequence-aware recommender systems which yielded.14% increase in annual revenue- Developed context-aware recommender systems which yielded.1% increase.
Data Scientist/Research Faculty
- Developed statistical unsupervised learning methods for high-dimensional network/graph data- Studied the stock market Flash Crash in US with high-frequency data and network methods- Developed hypergraph models and methods for novelty measures in science and technology- Led the Center for Network Analysis at Carolina
Postdoctoral Scholar
- Study higher-order interactions in complex systems using hypergraphs.- Infer public interest from online book co-purchase data.- Investigate the influences of conventions, biases and novelties in shaping the landscape of science.- Develop models for active learning of network interactions.- Investigate the innovating processes in US patents.
Research Assistant
* Study theoretical models for coevolutionary networks with a focus on the evolving voter model;* Advance statistical algorithms for inferring implicit networks on which information diffuses;* Investigate diffusion-limited antibody-virus interactions in the human mucus layer;* Build network-based multiscale assessment tools for electrical properties of.
Instructor
Instructor for “Selected Topics in Mathematics”; undergraduate level course.
Graduate Research Consultant & Lab Instructor
Teach students MATLAB and Mathematica for scientific computing. Instructor: M. Gregory Forest.
Instructor
Instructor for "Pre-Calculus",Freshman-undergraduate level course
Intern
Developed efficient algorithms for contingency analysis of power grids via network theory and tools.
Industrial Math/Stat Modeling Workshop For Graduate Students 2011
* Studied the Inner-City Asthma Air Pollution under the supervision of Rho, Inc. Chapel Hill, NC* Developed models for predicting indoor pollution from questionnaire and outdoor pollution data
The Twenty-Seventh Annual Workshop On Mathematical Problems In Industry
* Developed a fast algorithm to compute loss distributions of portfolios using Gibbs sampler* Estimate the likelihood of serious losses of portfolios using importance sampling and milestoning
Graduate Research Fellow
* Developed numerical simulations for the evolving voter model* Studied the mathematical structure of evolving voter model with two opinions
Undergraduate Researcher
* Developed a clustering-based algorithm for deformations of large meshes with detail preserving* Designed an algorithm for rigid deformations of tetrahedral control meshes by Laplacian energy.
Feng "Bill" Shi education
Ph.D., Applied Mathematics
M.S., Statistics
B.S., Math And Applied Mathematics
Frequently asked questions about Feng "Bill" Shi
Quick answers generated from the profile data available on this page.
What company does Feng "Bill" Shi work for?
Feng "Bill" Shi works for Pond.
What is Feng "Bill" Shi's role at Pond?
Feng "Bill" Shi is listed as Co-Founder and CTO at Pond.
What is Feng "Bill" Shi's email address?
AeroLeads has found 1 work email signal at @uchicago.edu for Feng "Bill" Shi at Pond.
What is Feng "Bill" Shi's phone number?
AeroLeads has found 1 phone signal(s) with area code 919 for Feng "Bill" Shi at Pond.
Where is Feng "Bill" Shi based?
Feng "Bill" Shi is based in Greater Seattle Area, United States, United States while working with Pond.
What companies has Feng "Bill" Shi worked for?
Feng "Bill" Shi has worked for Pond, Tigergraph, Amazon, University Of North Carolina At Chapel Hill, and The University Of Chicago.
How can I contact Feng "Bill" Shi?
You can use AeroLeads to view verified contact signals for Feng "Bill" Shi at Pond, including work email, phone, and LinkedIn data when available.
What schools did Feng "Bill" Shi attend?
Feng "Bill" Shi holds Ph.D., Applied Mathematics from University Of North Carolina At Chapel Hill.
What skills is Feng "Bill" Shi known for?
Feng "Bill" Shi is listed with skills including Sas, R, Matlab, Applied Mathematics, Numerical Analysis, Mathematical Modeling, Latex, and C/C++.
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