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Winnie Cheng's email & phone number

AI Innovator

Winnie Cheng's Email Addresses & Phone Numbers

Winnie Cheng's Work Experience

Forbes Technology Council

Official Member

Greater New York City Area

CFTE - Centre for Finance, Technology and Entrepreneurship

Senior Lecturer

London, United Kingdom

Hatcher+

Advisor

Singapore

Winnie Cheng's Education

Massachusetts Institute of Technology

PhD, Computer Science (Minor in Finance), GPA: 5.0/5.0

Massachusetts Institute of Technology - Sloan School of Management

Certificate, Financial Technology Option (Adv Corporate Finance, Quantitative Strategies and Option Pricing), GPA: 5.0/5.0

Stanford University

M.S, Electrical Engineering with Honours

Winnie Cheng's Professional Skills Radar Chart

Based on our findings, Winnie Cheng is ...

Methodical
Pragmatic
Motivational

What's on Winnie Cheng's mind?

Based on our findings, Winnie Cheng is ...

57% Left Brained
43% Right Brained

Winnie Cheng's Estimated Salary Range

About Winnie Cheng's Current Company

Forbes Technology Council

Frequently Asked Questions about Winnie Cheng

What company does Winnie Cheng work for?

Winnie Cheng works for Forbes Technology Council


What is Winnie Cheng's role at Forbes Technology Council?

Winnie Cheng is Official Member


What is Winnie Cheng's personal email address?

Winnie Cheng's personal email address is w****[email protected]


What is Winnie Cheng's business email address?

Winnie Cheng's business email address is w****[email protected]


What is Winnie Cheng's Phone Number?

Winnie Cheng's phone (212) ***-*109


What industry does Winnie Cheng work in?

Winnie Cheng works in the Financial Services industry.


About Winnie Cheng

💼 Past Experience

Winnie Cheng has more than 10 years of tech industry experience, including 4 years as a Research Scientist at IBM T. J. Watson. She has also worked as a Chief Data Scientist at a tech company and as a Senior Lecturer at a graduate level in finance. Winnie is currently working as an Advisor at Hatcher+ in Singapore. She has also been a mentor at Columbia University and Leeds Beckett University.


🎓 Education

Winnie Cheng's education is in computer science with a minor in finance. Winnie Cheng had a GPA of 5.0/5.0 at the Massachusetts Institute of Technology where she obtained her doctorate in computer science. Cheng then completed the Sloan School of Management at the University of Massachusetts in Amherst where she earned her masters in electrical engineering with honors. As Winnie Cheng's final major, she also completed a B.A. with distinction from The University of British Columbia. Winnie Cheng has extensive experience working in problem-solving and software development. Winnie Cheng is now currently an Assistant Professor at the University of Southern California in the Department of Electrical Engineering and Computer Science.


💡 Technical & Interpersonal Skills

Winnie Cheng's Years of experience in the field of machine learning and data science:AI Innovator, Chief Data Scientist at Bankrate, Inc., from 2014 to 2016 (2 years); Lead several teams of data scientists, analysts, and big data developers to build awesome predictive models, data-driven products, and real-time big data platforms to power personal finance.Software Engineer, Corp R&D Strategy at Microsoft from 2009 to 2010 (1 year); Core incubator team for Microsoft's first cloud computing platform, development led to product launch of Windows Azure.Senior Systems Design Engineer, Xilinx Labs Advanced Development Group at Xilinx from January 2001 to July 2003 (2 years 7 months); Architected and technical lead in development of systems that made software run really really fast on programmable hardware.OS hacker -modified open source operating system to work on custom router hardwrare.Research Intern, Applied Physics at Hewlett-Packard Laboratories Japan from April 1998 to December 1998 (9 months); GaN Laser Diodes.Chief Data Scientist at Io-Tahoe from November 2017 to January 2020 (2 years 3 months); Pioneer in machine learning-driven smart data discovery solutions.Mentor at Shoo-in Career from 2015 to 2018 (3 years); Nurturing next generation of data science and technology talent in finance.Providing 1:1 mentoring and career guidance.Senior Lecturer at CFTE - Centre for Finance, Technology and Entrepreneurship in London, United Kingdom.AI in Finance, THE FIRST ONLINE COURSE ABOUT MACHINE LEARNING IN FINANCE, 17 out of 18 banks are already using AI and there is a need for all professionals to understand this new technology and how it will impact their jobs. In this video, senior leaders from bank, tech company, startup and regulator, share their views about the impact of Artificial Intelligence and Machine Learning in Finance.Because AI is already transforming finance, CFTE together with Ngee Ann Polytechnic is launching the first course covering Deep Learning, NLP in sectors such as banking and insurance. AI will have a big impact on finance - and people - and we are proud to be supported by forward-thinking organizations such as OCBC Bank and United Overseas Bank Limited (UOB) which are training a significant number of employees in that area.Voted "Most Innovative Venture Capital Technology Firm" by World Finance Markets (UK) Magazine.H+ is building a new model of venture investment based on big data, worldwide partnerships, and leading-edge technology.The venture industry is about to be massively disrupted - data-driven investment, democratized "micro LPs", global deal syndication, automated due diligence - our platform was built specifically to enable accelerators, VCs, and investors to utilize, and profit from, these new paradigms.Advocate at ADSKOM from 2013 to 2017 (4 years); Adskom is a VC-funded ad tech company providing programmatic advertising platforms and processes the largest purchase-intent data repository in Indonesia


Winnie Cheng’s Personal Email Address, Business Email, and Phone Number

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In a nutshell

Winnie Cheng's Ranking

Ranked #528 out of 10,555 for Official Member in New York

Winnie Cheng's Personality Type

Extraversion (E), Intuition (N), Thinking (T), Judging (J)

Average Tenure

2 year(s), 0 month(s)

Winnie Cheng's Willingness to Change Jobs

Unlikely

Likely

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Winnie Cheng's Social Media Links

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