Luke Lin
Bootcamp Manager
Luke obtained his doctorate in Mathematics at Stony Brook University, where he concentrated in partial differential equations. As a lifelong learner of mathematics, he is extremely efficient in quantitative analysis and also skilled at communicating abstract concepts. Being extremely passionate to share the insight of data from various industries, Luke looks forward to meeting curious students from all kinds of backgrounds enrolling at the Academy.
Zeyu Zhang
Bootcamp Manager
Zeyu earned his master's degree in Electrical Engineering at New York University. With a strong background in object-oriented programming and a solid understanding of machine learning algorithms, he helps virtual and physical machines to evolve. Zeyu prides himself on being a versatile professional as he thrives on solving problems that require multiple skills, including Python, C++, R, SQL, C#, HTML/CSS, or JavaScript. At his leisure, he likes to swim to keep himself active since retiring from his short-lived amateur basketball career.
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Alex Baransky
Bootcamp Coordinator
Alex earned his bachelor's degree in Environmental Biology at Columbia University, where he took courses in Advanced Programming, Data Structures, Object-Oriented Programming, and Circuit Analysis. He has experience with multiple computer languages, including Python, R, and SQL. As an engineer at heart and biologist through training, Alex is passionate about animal behavior and finding innovative ways to use data science in the field of biology.
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Thomas Laetsch
Instructor
Thomas Laetsch is an experienced instructor and researcher with various teaching excellence awards and faculty recognitions during his years as a doctoral student and later as an assistant professor. His published materials appear in top publications, including the Journal of Functional Analysis and Transactions of the American Mathematical Society. In 2012, he obtained his doctorate in Mathematics from the University of California, San Diego, specializing in probability, differential geometry, and functional analysis. He was a Visiting Assistant Professor at the University of Connecticut, working on central tendency theorems for random walks in degenerate spaces. Before joining the Academy, he was a Moore-Sloan Postdoctoral Research Associate in the Center for Data Science at New York University, working in statistical criminology. At his leisure, he enjoys music composition, dancing the Argentine tango, and feeling over-confident while attempting to speak Spanish.
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Drace Zhan
Instructor
Before teaching at the Academy, Drace has worked extensively in the test-prep field, where he trained students in Mathematics and Reading Comprehension. In 2019, he earned his master's degree in Statistics at Zicklin School of Business. Drace is a whiz at translating complex concepts to easily understandable terms. His interests include programming, cats, board games, and the quest for more questions.
Simon Zhong
Assistant Instructor
Simon earned his bachelor's degree in Mathematics and Economics at Swarthmore College and his master's degree in Statistics at UC San Diego where he took courses in Mathematical Statistics, Learning Algorithms, Time Series and Survival Analysis. He has worked and built models in the fields of genetics and NLP. A statistician at heart and a data scientist by training, Simon enjoys breaking down concepts and communicating with clients. In his spare time, he likes to play tennis, travel and take photos. Occasionally, he will indulge himself with Cities: Skylines.
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Aiko Liu
Lead Instructor
Before joining the Academy, Aiko obtained his doctorate in Mathematics at Harvard University, which led to his extensive career in research and academia at Massachusetts Institute of Technology and the University of California, Berkeley, respectively. Then, he switched gears and entered the hedge fund industry working on quantitative trading for ten years. His interests include programming and using machine learning algorithms for industrial research. When at home, Aiko enjoys reading books on a wide variety of topics.
Carlos Afonso
Instructor
Carlos has an MSc in Physics Engineering from IST and completed one year of doctoral training in Computational Biology at IGC in Portugal, and he has conducted postgraduate research in Biomedical Engineering at the University of Oxford in England. He has 4 years of corporate consulting experience, using Data Science and Machine Learning to solve problems in various industries including healthcare, financial, and technology for a diversity of clients from nonprofits to Fortune 100 companies.
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Jon Krohn
Instructor
Jon Krohn is Chief Data Scientist at the machine learning company untapt and the author of "Deep Learning Illustrated," the acclaimed 2019 book. He's also the presenter of a popular series of tutorials on artificial neural networks, including "Deep Learning with TensorFlow." Jon holds a doctorate in neuroscience from Oxford University and has been publishing on machine learning in leading academic journals since 2010. He teaches his comprehensive deep learning curriculum in-classroom at the NYC Data Science Academy and, along with researchers from Columbia University, holds a grant from the United States National Institutes of Health to automate medical image processing with deep learning.
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Hasan Aljabbouli
Instructor
Hasan Aljabbouli obtained his master's degree and a doctorate in Artificial Intelligence at Cardiff University after studying Information Technology at Homs University. He has extensive experience in academia, working with different universities, and publishing many scholastic materials in Data Mining and Machine Learning. Hasan holds two patents on Product Surface Defect Detection Device and Portable Section Measuring Instrument.
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Jake Bialer
Instructor
Jake Bialer is a full stack developer and data scientist who has spent the last decade immersed in data problems at online media organizations, e-commerce sites, and other web businesses. He currently runs his consultancy, Bialerology, which helps media companies that produce journalism of social value succeed on the web.
Jay Lee
Instructor
Jay Lee has been a life-long marketing expert specialized in quantitative analysis. He has taught various marketing classes at Purdue Univeristy Krannert School of Management and have worked in several companies, Korea Telecom, Samsung Electronics, and dunnhumby, as a marketing analyst. At Korea Telecom, his main roles as an entry level marketing researcher were to forecast sales and traffic of communication services and analyze data for CRM or more than 20 million consumers. After his first job, Jay Lee decided to expand his knowledge in marketing by joining the Ph.D. program at Purdue University Krannert School of Management. Once graduating he joined Samsung Electronics as a senior marketing manager. During Samsung, he conducted marketing intelligence and forecasted sales for mobile markets such as smartphones and tablets. Furthermore, monitored consumer analytics of these mobile products. Following the role at Samsung, he joined dunnhumby as a senior data solution analyst. At dunnhumby, he analyzed consumer transaction data for retailer industry, implemented schemes for consumer retention and loyalty programs, and provided client solutions for big data analyses.
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