Li Deng

Li Deng Email and Phone Number

Chief AI Officer and Global Head of Machine Learning at @Vatic Investments @ Vatic Investments
Seattle and New York City
Li Deng's Location
United States, United States
About Li Deng

Experienced Chief Officer with demonstrated history of leadership in high tech and finance industries. Strong technical, executive management and business development experience; Expert in Artificial Intelligence, Machine Learning, Mathematical/Statistical Modeling, Computer Science, Speech Recognition, Natural Language Processing, Deep Learning, Neural Nets, Big Data Analytics, Quantitative Finance, AI for education and for healthcare.Brief Bio:Dr. Li Deng was elected as a Fellow of the National Academy of Engineering of Canada and of Washington State Academy of Sciences in 2019. Since May 2017, He has been the Chief Artificial Intelligence Officer of Citadel. Prior to Citadel, he was the Chief Scientist of AI, Founder of Deep Learning Technology Center, and Partner Research Manager at Microsoft for over 17 years (2000-2017). Prior to Microsoft, he was an Assistant Professor, Tenured Associate and Full Professor (1989-99) at University of Waterloo, Canada, as well as holding teaching/research positions at MIT (Cambridge, 1992-93), ATR (Kyoto, Japan, 1997-98), and HKUST (Hong Kong, 1995). He is a Fellow of the IEEE (2004), Fellow of Acoustical Society of America (1993), & Fellow of the ISCA (2011). Since 2000, Dr. Deng has also been an Affiliate Professor at University of Washington, Seattle.Dr. Deng was elected to the Board of Governors of IEEE Signal Processing Society, and was Editors-in-Chief of the IEEE Signal Processing Magazine & IEEE/ACM Transactions on Audio, Speech, & Language Processing (2008-2014), for which he was honored with the IEEE SPS Meritorious Service Award. In recognition of his pioneering AI research on disrupting speech recognition using large-scale deep learning, he received the 2015 IEEE SPS Technical Achievement Award for “Outstanding Contributions to Automatic Speech Recognition & Deep Learning”. Dr. Deng was also awarded numerous best paper and patent awards for contributions to AI, machine learning, information retrieval, multimedia signal processing, speech processing/recognition, and human language technology. He is the author/co-author of 6 technical books in several areas of his expertise.

Li Deng's Current Company Details
Vatic Investments

Vatic Investments

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Chief AI Officer and Global Head of Machine Learning at @Vatic Investments
Seattle and New York City
Website:
vaticlabs.com
Employees:
33
Li Deng Work Experience Details
  • Vatic Investments
    Vatic Investments
    Seattle And New York City
  • Vatic Investments
    Chief Ai Officer And Global Head Of Machine Learning
    Vatic Investments May 2022 - Present
    New York, Ny, Us
  • University Of Washington
    Affiliate Full Professor
    University Of Washington Jan 2000 - Present
    Seattle, Wa, Us
  • Ridge-Lane Limited Partners
    Venture Partner, Technology
    Ridge-Lane Limited Partners Jun 2020 - Present
    Washington, D.C., Us
    RIDGE-LANE Limited Partners is a strategic advisory and venture development firm founded byfinancier R. Brad Lane and The Honorable Thomas J. Ridge – focused on root-cause solutions togrand challenges in Education, Sustainability, and Information Technology – with a team ofGeneral Partners, Venture Partners, and Senior Advisors who have served at the highest levelsof finance, government, and military.  We create value for our clients and society by bridging the gaps between private-sectorinnovation, investment capital, policy and procurement – across the Federal, State, and Locallevels: an innovation ecosystem, providing corporate development to commercialize and scalenovel venture-backed technology companies, as well as place-based solutions that improvecities and quality of life. Our team serves as a fiduciary advisor to companies looking for strategic ways to accelerategrowth, providing an integrated offering of Advisory, Capital, and Business Development –aligning the commercial interests of private business, with the needs of society and our futurecivilization – where our knowledge and networks are leveraged to create maximum value for allstakeholders.
  • Curai Health, Ck-12 Foundation
    Chief Ai Advisor/Scientist
    Curai Health, Ck-12 Foundation Apr 2021 - May 2022
    Chief AI Advisor/Scientist, CK-12 Foundation/Curai Health
  • Citadel Llc
    Chief Ai Officer, And Head Of Machine Learning
    Citadel Llc May 2017 - Nov 2020
  • Microsoft
    Chief Scientist Of Ai
    Microsoft Jan 2016 - May 2017
    Redmond, Washington, Us
    A Chief Scientist of AI and Partner Research Manager at Microsoft in Redmond, Dr. Deng founded and led its Deep Learning Technology Center (2013-2017). The work was focused on advanced development and research of artificial intelligence and deep learning, and on management of researchers and software developers for applying machine intelligence to large-scale business data analysis and to speech/image/text multimodal information processing. He received the 2015 IEEE SPS Technical Achievement Award for "Outstanding Contributions to Deep Learning and to Automatic Speech Recognition," and related best paper awards in prior years. He was Editors-In-Chief of IEEE Signal Processing Magazine and of IEEE/ACM Transactions on Audio, Speech, and Language Processing. He co-authored two recent books on Deep Learning.Prior to joining Microsoft, he was a tenured faculty member at the University of Waterloo, Canada, and he also taught and conducted research at MIT, ATR (Japan), and HKUST.
  • Microsoft
    Founder And Head Of Deep Learning Technology Center
    Microsoft Jan 2014 - Apr 2017
    Redmond, Washington, Us
  • Microsoft
    Senior Researcher, Principal Researcher, Partner Research Manager At Microsoft Research
    Microsoft Dec 1999 - Apr 2017
    Redmond, Washington, Us
  • Microsoft Ai And Research
    Head Of Microsoft Ai School
    Microsoft Ai And Research Jan 2017 - Apr 2017
  • University Of Waterloo
    Full Professor
    University Of Waterloo Jun 1996 - Dec 1999
  • University Of Waterloo
    Associate Professor (Tenured)
    University Of Waterloo Jun 1992 - Jun 1996
  • University Of Waterloo
    Assistant Professor
    University Of Waterloo Aug 1989 - Jun 1992
  • Atr Interpreting Telecom. Research Lab
    Researcher
    Atr Interpreting Telecom. Research Lab 1997 - 1998
  • Massachusetts Institute Of Technology, Laboratory For Computer Science (Lcs)
    Researcher
    Massachusetts Institute Of Technology, Laboratory For Computer Science (Lcs) 1992 - 1993
    Cambridge, Ma, Us

Li Deng Skills

Pattern Recognition Signal Processing Machine Learning Speech Recognition Neural Networks Natural Language Processing Algorithms Computer Vision Artificial Intelligence Computer Science Deep Learning Image Processing Human Computer Interaction Information Retrieval Information Extraction Mathematical Modeling Statistical Modeling Digital Signal Processors Matlab Python Distributed Systems Software Development Software Engineering C++ Big Data Analytics Fortran

Li Deng Education Details

  • University Of Wisconsin-Madison
    University Of Wisconsin-Madison
    Electrical And Computer Engineering
  • University Of Wisconsin-Madison
    University Of Wisconsin-Madison
    Electrical And Computer Engineering
  • Univ. Science & Technology Of China
    Univ. Science & Technology Of China
    Biophysics

Frequently Asked Questions about Li Deng

What company does Li Deng work for?

Li Deng works for Vatic Investments

What is Li Deng's role at the current company?

Li Deng's current role is Chief AI Officer and Global Head of Machine Learning at @Vatic Investments.

What is Li Deng's email address?

Li Deng's email address is de****@****oft.com

What is Li Deng's direct phone number?

Li Deng's direct phone number is +142526*****

What schools did Li Deng attend?

Li Deng attended University Of Wisconsin-Madison, University Of Wisconsin-Madison, Univ. Science & Technology Of China.

What skills is Li Deng known for?

Li Deng has skills like Pattern Recognition, Signal Processing, Machine Learning, Speech Recognition, Neural Networks, Natural Language Processing, Algorithms, Computer Vision, Artificial Intelligence, Computer Science, Deep Learning, Image Processing.

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