The Beauty of Data Science

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The Beauty of Data Science

Tuesday, February 25, 2020 -

6:00pm to 8:00pm

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.

Event Details:

Data analytics and data science topic presented by Jun Yu. This is an in-person presentation, not an on-line webinar. Students must register with school email address or show ID at door. Use code STUD20CH during checkout for $5 discount.

Event Location:

Seattle Municipal Tower, Conference Room 4050/4060

Speaker:

Jun Yu ( Software Engineer, Snap Inc.)

Location Name:

Seattle Municipal Tower

Event Directions:

700 5th Ave, Seattle, WA 98104 Conference Room 4050/4060 (Please take the elevator banks to the 40th Floor) 1. From driving north on I-5: Take the Madison Street exit. Turn left on Madison to Fifth Avenue. Go one block and turn left onto Marion. Then, turn right onto Sixth Avenue. Enter Seattle Municipal Tower Garage off of Sixth Avenue, immediately past Columbia Street. 2. From driving south on I-5: Take the James/ Columbia Street exit. Enter Seattle Municipal Tower Garage off of Sixth Avenue, immediately past Columbia Street. Entering the Building from the Garage: Upon exiting your car, follow the striped walkway into the building. Enter from the Parking Area and go through the hallway to the Parking Garage Elevator lobby. Take the elevator to the Fourth Floor (Main Lobby). Cross lobby from Parking Elevators to Main Building elevators. There are four separate banks that take you to the upper floors. They are marked above. 3. If taking Central Link Light Rail: Take the Pioneer Square Station Exit Walk up (east) on James Street Turn left on 5th Avenue Entrance to SMT will be on 5th and Columbia

Event Type:

Chapter Meeting