The Beauty of Data Science
Please join us to explore the beauty of data science with Jun Yu from Snap Inc.! Jun's topic will be Building a Machine Learning Application in Practice.
Jun Yu is an experienced technical leader with expertise in machine learning, advertising and recommendation system. He has a passion for applying machine learning and artificial intelligence techniques and building innovative products to solve challenging real-world problems.
Jun is currently working as Software Engineer Manager at Snap Inc., makers of Snapchat, Spectacles, and Bitmoji. He was previously Senior Applied Scientist and Tech Lead at Amazon, leading a team of scientists and engineers to forecast sales velocity for various promotions, rank recommendations on Seller Central homepage for selling partners and estimate the long term impact of seller actions.
Before joining Amazon, Jun was a research tech lead at eBay where his team built machine learning solutions for the paid internet marketing on Google and Facebook. Their ML model optimizes the bidding strategies, provides personalized recommendations to drive high quality traffic to eBay, and maximizes the return-over-investment.
Jun also has a passion in teaching and helping more people into the field of machine learning and data science. Currently he teaches several courses in the Foster School of Business at University of Washington, including Advanced ML, Deep Learning and Big Data, and Natural Language Processing.
Jun received his Ph.D in Computer Science from Oregon State University working with Dr. Weng-Keen Wong. During the Ph.D. study, his research focused on using probabilistic graphical models and crowdsourcing to predict species distribution using citizen science data and quantify the skill level of citizen scientists in the eBird project. Jun has published more than 15 papers in top-tier machine learning and citizen science conferences and journals.