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Tuesday, February 12, 2019 at 09:00 AM   Absolutely Free
Rise NYC, 43 W 23rd St
 
     
 
 
              

          
 
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RSVP: https://www.eventbrite.com/e/blockchain-artificial-intelligence-machine-learning-lecture-series-tickets-53187787103

"Democratizing Data Science in Healthcare", Dr. Joel Park

"Blockchain-based distributed shared-computing", Professor Chong Li (Columbia U)

"Building a large-scale AI platform", Waleed Nasir

"Adopting AI in healthcare - NLP & ML", Niteen Kumar

"Prodcutionizing Tensorflow with Amazon SageMaker", Harry Moreno

"Spark for Beginners: A deep dive & tutorial", Waseem Hussain

"Distributed word embedding with Spark", Naiem Yageneh

"Using Python to analyze Ethereum mainnet", Jamiel Sheikh

"What is Data (Really) And What Can You Do (And Not to Do) with it", Walter Perry

Speakers' Biographies:

Professor Jamiel Sheikh - Jamiel is CEO of Chainhaus, an advisory, software development, application studio & education company focused on blockchain, artificial intelligence & machine learning. Jamiel has over 15 years of experience in technology, capital markets, real estate & management & is an adjunct professor at Columbia Business School, NYU & CUNY teaching graduate-level blockchain, AI & data science subjects. He is currently authoring a book on Corda with OReilly & runs one of the largest blockchain, AI & data science Meetups in NYC. Jamiel is a licensed real estate agent in New York & New Jersey with Douglas Elliman. Jamiel enjoys coding in over 8 languages, travel & the elegant nuances of MMA.

Dr. Joel Park - Dr. Joel Park is a board-certified emergency medicine physician with expertise in data science & machine learning in the healthcare sector. He is a Clinician Data Scientist at Symphony Medical & Chainhaus & an assistant program director for a Montefiore-affiliated hospital, St. Johns Riverside Hospital emergency medicine residency in Yonkers, NY. Dr. Park earned his medical degree at Rutgers University New Jersey Medical School & completed his residency at New York Presbyterian Universities of Columbia & Cornell. Dr. Parks responsibilities include utilizing data science & machine learning algorithms for operational & clinical data with the goals of implementing changes from data insight. He performs exploratory data analysis & predictive modeling for emergency medicine department operations including work on patient boarding, surge protocols, & ED metrics. Dr. Park is participating with the MIT Critical Data team in international hackathons & will be helping organize a New York City-based hackathon with MIT & NYU in May 2019.

Professor Chong Li - Chong Li is a co-founder of Nakamoto & Turing Labs He is also chief architect & head of research at Canonchain Networks. Since 2016, Dr. Li is an adjunct professor at Columbia University. Prior to that, he was a researcher at Qualcomm Research, working on 4G LTE & 5G systems design. Dr. Li received a Ph.D degree from Iowa State University & a B.E degree from Harbin Institute of Technology, both in Electrical Engineering. He is a holder of 200+ international & U.S. patents (granted & pending). Dr. Li has published many high influential papers on top-ranking journals, including Proceedings of the IEEE, IEEE Trans. on Information Theory, IEEE Communications Magazine, Automatica, etc. He has also served as reviewer & technical program committee for most prestigious journals & conferences in communications & control society. He is the author of the book "Reinforcement Learning for Cyber-physical Systems" (Taylor & Francis CRC press). Chong Li has broad research interests including information theory, machine learning, blockchain, networked control & communication, PYH/MAC system design for advance telecommunicationtechnologies (5G & beyond)

 
 
 
 
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