AeroLeads people directory · profile
Kai Wang Email & Phone Number
Senior Director of Applied AI
at
2K
1 work email found
@2k.com
1 phone found area 984
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Current company
Role
Senior Director of Applied AI
Location
San Francisco Bay Area, United States
Company size
Who is Kai Wang? Overview
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Quick answer
Kai Wang is listed as Senior Director of Applied AI at 2K, a with 3663 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at 2k.com, phone signal with area code 984, and a matched LinkedIn profile for Kai Wang.
Kai Wang previously worked as Director of Applied Data Science & AI at 2K and Principal Data Scientist, Head of Applied AI/ML at 2K. Kai Wang holds Doctor Of Philosophy (Phd), Decision Sciences from Duke University.
Company email context
Email format at 2K
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{first}.{last}@2k.com
89% confidence
AeroLeads found 1 current-domain work email signal for Kai Wang. Compare company email patterns before reaching out.
Profile bio
About Kai Wang
Accomplished AI/ML leader with a strong track record of driving cross-functional collaborations, setting strategic direction, and delivering AI-driven solutions to enhance business performance. Proven experience in growing and managing high-performing AI/ML teams of scientists and engineers, combined with a deep understanding of machine learning, data science, statistics, operations research, and economics. Adept at translating complex AI/ML concepts into actionable strategies for diverse stakeholders.
Listed skills include Statistics, Machine Learning, R, Time Series Analysis, and 33 others.
Current workplace
Kai Wang's current company
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8 roles
Kai Wang work experience
A career timeline built from the work history available for this profile.
Director Of Applied Data Science & Ai
Current
Apr 2022 - Present
Principal Data Scientist, Head Of Applied Ai/Ml
Apr 2021 - Mar 2022
Principal Data Scientist, Head Of Game Science
Feb 2020 - Mar 2021
Lead Data Scientist
- Recommender Systems:Led recommender system research, modeling and implementation at the central analytics group on cross-game recommendation and in-game content recommendation. Pioneered and designed model deployment and serving solution which is easy and flexible to bring recommender models from prototype to production.- MatchmakingServed as the center of expertise for matchmaking. Developed machine learning based skill models and matchmaking algorithms for multiplayer online experience on multiple AAA titles. Advised on MMR systems and PvP progression design for multiple game studios. Researched performance and role based MMR skill model.- SimulationLed initiative of simulation-based optimization for matchmaking, progression, and economy. Developed generic frame work that is easy to implement across genres and franchises. Created analytics and optimization layer connecting simulated operation/business goals with design choices such as matchmaking algorithms, progression systems, as well as game parameter configurations, bringing data-driven decision support to game designs.- Forecasting and PredictionBuilt and deployed player life-time value (LTV) model for the mobile title portfolio. The model supports marketing's daily paid acquisition decisions and operations. Created machine learning based pre-launch forecasting model on game sales for PC and console titles.
Dec 2018 - Feb 2020
Advanced Data Scientist
Feb 2017 - Dec 2018
Senior Data Scientist
Jun 2016 - Feb 2017
Data Scientist
Oct 2014 - Jun 2016
Team & coworkers
Colleagues at 2K
Other employees you can reach at 2k.com. View company contacts for 3663 employees →
EB
Evan Boyle
Colleague at 2KCounty Dublin, Ireland
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HH
Howell Hurst
Colleague at 2KSunderland, England, United Kingdom
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VS
Vishal S.
Colleague at 2KSan Francisco Bay Area, United States
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HD
Hugo Dominguez
Colleague at 2KLas Vegas, Nevada, United States
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LP
Luke Price
Colleague at 2KSt Albans, England, United Kingdom
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RK
Raj Kumar
Colleague at 2KNagaur, Rajasthan, India
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DL
Dylan Levy-Gantt
Colleague at 2KSan Francisco, California, United States
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SM
Samuel Moses
Colleague at 2KLos Angeles, California, United States
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BC
Brandon Cary
Colleague at 2KIndianapolis, Indiana, United States
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JB
Joe Bettis
Colleague at 2KLas Vegas, Nevada, United States
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Evan Boyle
Colleague at 2KCounty Dublin, Ireland
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HH
Howell Hurst
Colleague at 2KSunderland, England, United Kingdom
View →
VS
Vishal S.
Colleague at 2KSan Francisco Bay Area, United States
View →
HD
Hugo Dominguez
Colleague at 2KLas Vegas, Nevada, United States
View →
LP
Luke Price
Colleague at 2KSt Albans, England, United Kingdom
View →
RK
Raj Kumar
Colleague at 2KNagaur, Rajasthan, India
View →
DL
Dylan Levy-Gantt
Colleague at 2KSan Francisco, California, United States
View →
SM
Samuel Moses
Colleague at 2KLos Angeles, California, United States
View →
BC
Brandon Cary
Colleague at 2KIndianapolis, Indiana, United States
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JB
Joe Bettis
Colleague at 2KLas Vegas, Nevada, United States
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3 education records
Kai Wang education
Doctor Of Philosophy (Phd), Decision Sciences
Duke University
Bachelor'S Degree, Quantitative Economics And Finance
Zhejiang University
High School
Hangzhou Foreign Language School
FAQ
Frequently asked questions about Kai Wang
Quick answers generated from the profile data available on this page.
What company does Kai Wang work for?
Kai Wang works for 2K.
What is Kai Wang's role at 2K?
Kai Wang is listed as Senior Director of Applied AI at 2K.
What is Kai Wang's email address?
AeroLeads has found 1 work email signal at @2k.com for Kai Wang at 2K.
What is Kai Wang's phone number?
AeroLeads has found 1 phone signal(s) with area code 984 for Kai Wang at 2K.
Where is Kai Wang based?
Kai Wang is based in San Francisco Bay Area, United States while working with 2K.
What companies has Kai Wang worked for?
Kai Wang has worked for 2K and Electronic Arts (Ea).
Who are Kai Wang's colleagues at 2K?
Kai Wang's colleagues at 2K include Evan Boyle, Howell Hurst, Vishal S., Hugo Dominguez, and Luke Price.
How can I contact Kai Wang?
You can use AeroLeads to view verified contact signals for Kai Wang at 2K, including work email, phone, and LinkedIn data when available.
What schools did Kai Wang attend?
Kai Wang holds Doctor Of Philosophy (Phd), Decision Sciences from Duke University.
What skills is Kai Wang known for?
Kai Wang is listed with skills including Statistics, Machine Learning, R, Time Series Analysis, Bayesian Statistics, Optimization, Python, and Matlab.
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