Top 10 Data Science Experts to Follow on Twitter

by May 18, 2020 0 comments

Data Science

The application of artificial intelligence (AI) and machine learning to the business and IT, from intelligent IT operations (AIOps) to service management to software testing, is keeping the data revolution moving at lightning speed. That’s why data science remains a popular concentration for computer science students who have the talent for math and analytics. And it’s why more organizations are clamoring for data scientists who can help make decisions faster and put their businesses ahead of competitors.

In today’s age data science expertise with desirable knowledge in relatable fields is rare to find and therefore we have enlisted top 10 data science experts who you can follow in Twitter.

 

Hilary Mason

@hmason

Hilary is the Founder of Fast Forward Labs, a machine intelligence research company, and the Data Scientist in Residence at Accel. Previously, she was the Chief Scientist at bitly. Hilary is also co-founder of HackNY, co-host DataGotham, and is a member of NYCResistor. At Accel, she gets the chance to advise companies large and small on their data strategy. During her 4 years tenure at bitly as a data scientist, she led an amazing team that studied attention on the internet in realtime, doing a mix of research, exploration, and engineering.

 

Lillian Pierson

@Strategy_Gal

As a data strategy & advisory consultant, Lillian partners with executives & their data teams to provide oversight and recommendations that support winning data initiatives. At Data-Mania, she develops data strategy plans to help executives lead and manage winning data initiatives. Lillian’s strategies guide business leaders to overcome current state obstacles and deliver data initiatives that directly support their unique business visions. Her specialties include Data strategy custom plan development, private VIP days, and in-house workshops; Data strategy, data science, and AI online training courses; Thought leadership services within the data science, artificial intelligence, and Internet-of-Things practice domains; and Business coaching for tech entrepreneurs.

 

Kira Radinsky

@KiraRadinsky

Kira is the chairman and CTO of Diagnostic Robotics, where the most advanced technologies in the field of artificial intelligence are harnessed to make healthcare better, cheaper, and more widely available. In the past, she co-founded SalesPredict, acquired by eBay in 2016, and served as eBay director of data science and IL chief scientist. Kira mainly specializes in the field of medical data mining and had the opportunity, while in Microsoft Research, to develop predictive algorithms that recognized the early warning signs of globally impactful events, including political riots and disease epidemics.

 

Richard Socher

@RichardSocher

Richard Socher is Chief Scientist at Salesforce where he leads the company’s research efforts and works on bringing state of the art artificial intelligence solutions to Salesforce. Prior to Salesforce, Richard was the CEO and founder of MetaMind, a startup acquired by Salesforce in April 2016. Richard was awarded the Distinguished Application Paper Award at the International Conference on Machine Learning (ICML) 2011, the 2011 Yahoo! Key Scientific Challenges Award, a Microsoft Research Ph.D. Fellowship in 2012, a 2013 “Magic Grant” from the Brown Institute for Media Innovation, the 2014 GigaOM Structure Award and is currently a member of the WEF Young Global
Leaders Class of 2017.

 

Christopher Surdak

@CSurdak

Chris is an award-winning author, innovator, disrupter, engineer, and strategist. Currently, he is focused upon the design, implementation, support, and use of Intelligent Automation (IA) technologies such as Robotic Process Automation (RPA), Cognitive Computing (CC), Machine Learning (ML) and Artificial Intelligence (AI). He has authored the books: “The Care and Feeding of BOTS”, “Jerk: Twelve Steps to Rule the World” and “Data Crush: How the Information Tidal Wave Is Creating New Business Opportunities”, winner of GetAbstract’s International Book of the Year, 2014.

 

Sebastian Thrun

@SebastianThrun

Sebastian Thrun pursues research on robotics, artificial intelligence, education, human-computer interaction, and medical devices. He founded Google’s self-driving car team, after winning the DARPA Grand Challenge. Together with Peter Norvig, Thrun developed the first global MOOC with 160,000 students enrolled. Google Scholar ranks Thrun’s publication h-index 14 worldwide in all of computer science. Thrun also founded Google X, where he founded Google Glass among many other projects. He was elected into the National Academy of Engineering and the German Academy of Sciences at age 39. Thrun founded and sold a number of tech companies, including Udacity (valued at over $1B) and KittyHawk. Fast Company named Thrun the fifth most creative person in business, and Foreign Policy touted him Global Thinker 4.

 

John Myles White

@johnmyleswhite

John Myles White manages the newly founded New York City branch of Facebook’s Core Data Science team. Prior to coming to Facebook, John worked at MIT, where he helped develop data analysis libraries for the Julia programming language. Before going to MIT, John completed a Ph.D. in psychology in Princeton, where he studied behavioral economics. John is also the author of two O’Reilly books: Machine Learning for Hackers and Bandit Algorithms for Website Optimization.

 

Dean Abbott

@deanabb

Dean Abbott is President of Abbott Analytics in San Diego, California. Mr. Abbott has over 21 years of experience applying advanced data mining, data preparation, and data visualization methods in real-world data intensive problems, including fraud detection, response modeling, survey analysis, planned giving, predictive toxicology, signal process, and missile guidance. Mr. Abbott is a seasoned instructor, having taught a wide range of data mining tutorials and seminars for a decade to audiences of up to 400, including DAMA, KDD, AAAI, and IEEE conferences. He is the instructor of well-regarded data mining courses, explaining concepts in language readily understood by a wide range of audiences, including analytics novices, data analysts, statisticians, and business professionals.

 

Kenneth Cukier

@kncukier

Kenneth Cukier is a Senior Editor at The Economist, and host of its weekly podcast on technology. He is also an associate fellow at Said Business School at Oxford, researching artificial intelligence. Kenn is the co-author of “Big Data: A Revolution That Transforms How We Live, Work, and Think” with Viktor Mayer-Schönberger. It was an NYT Bestseller translated in over 20 languages and sold over 1 million copies worldwide. It won the National Library of China’s Wenjin Book Award and was a finalist for the FT Business Book of the Year. Kenn co-authored a follow-on book, “Learning with Big Data: The Future of Education”

 

Nando de Freitas

@NandoDF

Nando de Freitas is a Professor of Computer Science at Oxford University. He was a tenured Full Professor in Computer Science at UBC until 2014. Currently, he is an adjunct professor at this department. He is also a Fellow of the Canadian Institute for Advanced Research (CIFAR). As a visiting post-doctoral scholar with Stuart Russell at UC Berkeley, he worked on machine learning, computer vision, image retrieval, probabilistic models in artificial intelligence, variational inference algorithms, particle filtering, and MCMC simulation. Nando de Freitas has a Ph.D. on Bayesian methods for neural networks (Trinity College, Cambridge University).

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