Monday, April 23rd, 2018

9:45 am10:05 am
Speaker: Brad Klingenberg, VP of Data Science, Stitch Fix

Brad Klingenberg is the VP of Data Science at Stitch Fix where he leads more than 40 data scientists. Brad and his
team use statistics, machine learning and human-in-the-loop algorithms to optimize the inventory carried by Stitch Fix
and the way it is matched to clients. Prior to joining Stitch Fix, Brad received his PhD in Statistics from Stanford
University and worked as a data scientist in technology and financial services. He also serves as an advisor to
opendoor.com, an online realty service.

10:05 am10:25 am
Speaker: Avinash Gangadharan, VP of Engineering, Walmart Labs

Avinash heads Walmart's Mobile, Omnichannel and Discovery (Search/Product/Homepage) Engineering Team,
helping to build the future of Retail and eCommerce. Walmart is at the forefront of bridging the gap between the
physical and digital experience of shopping. Avinash’s teams have built WalmartPay—an in-store payment solutions,
Money Transfer and Pharmacy Express Refills experiences on the Walmart App, and ScanNGo—an app which lets
customers scan and pay for an item. All of these have been done at the Walmart scale supporting millions of
customers. His team has also built products that assist customers in various ways, helping them plan a store trip and
be smarter while shopping.

10:25 am10:45 am
Speaker: Devavrat Shah, Co-Founder, Celect, and Professor of EECS, MIT

Devavrat’s research focuses on statistical inference and stochastic networks. His contributions span a variety of areas including resource allocation in communications networks, inference and learning on graphical models, and algorithms for social data processing including ranking, recommendations and crowdsourcing. Within the broad context of networks, his work spans a range of areas across electrical engineering, computer science and operations research.

Devavrat has received the President of India Gold Medal at IIT, Bombay, the George B. Dantzig Dissertation Award from the Institute for Operations Research and the Management Sciences (INFORMS), the CAREER award from the NSF, the inaugural Rising Star Award from ACM SIGMETRICS, the Erlang Prize from the Applied Probability Society of INFORMS, and several best paper awards. He founded the machine learning start-up Celect, which helps retailers with optimizing inventory by accurate demand forecasting.

10:45 am11:05 am
Speaker: Andrew Goldberg, Senior Principal Scientist, Amazon

Andrew Goldberg’s research interests are in design, analysis, and computational evaluation of algorithms and data structures, algorithm engineering, computational game theory, electronic commerce, and parallel and distributed algorithms, and complexity theory. His algorithms are widely used in industry and academia. Goldberg got his Ph.D. degree in Computer Science from MIT in 1987, where he was a Hertz Foundation Fellow. Before joining Amazon in 2014, he worked at GTE Laboratories, Stanford University, NEC Research Institute, InterTrust Technologies, Inc., and Microsoft Research. Goldberg received a number of awards for his research contributions, including the NSF Presidential Young Investigator Award and the ONR Young Investigator Award. He is a Fellow of ACM and SIAM.

11:05 am11:45 am
Speaker: Moderator: Ramesh Johari, Professor, Stanford University

Ramesh Johari is a member of the Operations Research group in MS&E, and the Information Systems Laboratory in EE. He received an A.B. in Mathematics from Harvard (1998), a Certificate of Advanced Study in Mathematics from Cambridge (1999), and a Ph.D. in Electrical Engineering and Computer Science from MIT (2004). He is the recipient of a British Marshall Scholarship (1998), First Place in the INFORMS George E. Nicholson Student Paper Competition (2003), the George M. Sprowls Award for the best doctoral thesis in computer science at MIT (2004), Honorable Mention for the ACM Doctoral Dissertation Award (2004), the Okawa Foundation Research Grant (2005), the MS&E Graduate Teaching Award (2005), the INFORMS Telecommunications Section Doctoral Dissertation Award (2006), and the NSF CAREER Award (2007). He has served on the program committees of ACM Electronic Commerce (2007, 2009, 2010), ACM SIGCOMM (2006), IEEEInfocom (2007, 2008, 2009, 2010), and ACM SIGMETRICS (2008, 2009).

1:00 pm1:20 pm
Speaker: Vinay Shet, Director of Product, Lyft

Vinay Shet is a Director of Product Management at Lyft leading their Mapping efforts specifically focused on Lyft’s selfdriving car initiatives. Prior to Lyft, Vinay was at Google as the product lead for Google Maps’ Road Network and Navigation data. At Google, he led the team that pioneered the use of machine learning to create maps data from street level and aerial imagery creating one of the largest sources of Geo Data within Google Maps. Prior to that, he was the Product Manager for Street View as well as reCAPTCHA launching their “I’m not a robot” CAPTCHA. Vinay has a PhD in Computer Science focusing on Computer Vision from University of Maryland, College Park.

TBD
1:20 pm1:40 pm
Speaker: Kane Sweeney, Head of Market Design, Uber

No abstract available.

1:40 pm2:00 pm
Speaker: Parimal Kopardekar, Senior Technologist, NASA

Parimal Kopardekar (PK) serves as NASA's senior technologist for Air Transportation Systems and Principal Investigator for the Unmanned Aircraft Systems Traffic Management (UTM) project. He was formerly manager of the NASA’s Safe Autonomous System Operations Project, which developed autonomy related concepts, technologies and architectures that will increase efficiency, safety, and capacity of airspace operations. Prior to that, he managed Next Generation Air Transportation Systems (NextGen) Concepts and Technology Development Project. He has published more than 50 articles. He enjoys initiating new concepts and technology ideas that increase airspace capacity and throughput, reduce delays, and reduce the total cost of air transportation. At NASA, he has initiated many innovative research projects including reduced crew operations, net-enabled air traffic management, autonomy for airspace operations, Shadow-Mode Assessment using Realistic Technologies for the National Airspace System (SMART NAS), and low-altitude airspace management system focused on Unmanned Aircraft Systems (UAS) operations. 

He is a Fellow of the American Aeronautics and Astronautics (AIAA) and recipient of numerous NASA awards including Outstanding Leadership Medal and Engineer of the Year. He holds a doctorate and master’s degrees in Industrial Engineering and bachelor’s degree in production engineering.

2:00 pm2:20 pm
Speaker: Anil Kamath, Fellow and VP of Technology, Adobe

Anil Kamath is a web and technology entrepreneur. At Adobe, he is responsible for data science, machine learning and artificial intelligence in the Adobe Experience cloud. He was founder and primary architect of Efficient Frontier, a leading digital ad buying platform, until its acquisition by Adobe. Prior to that Anil, founded an ecommerce company called eBoodle that was acquired by Shopzilla. He has held leadership positions at Shopzilla and DE Shaw and received a PhD in Computer Science from Stanford University and a B.Tech in Computer Science from IIT Bombay. Anil is also an active angel investor and is on the investment committee for Stanford Angels & Entrepreneurs.

2:20 pm3:00 pm
Speaker: Moderator: David Shmoys, Professor, Cornell University

David Shmoys obtained his PhD in Computer Science from the University of California at Berkeley in 1984, and held postdoctoral positions at MSRI in Berkeley and Harvard University, and a faculty position at MIT before joining the faculty at Cornell University. He was Chair of the Cornell Provost’s “Radical Collaborations” Task Force on Data Science, co-Chair of the Academic Planning Committee for Cornell Tech, and is Associate Director of the Institute of Computational Sustainability at Cornell University.

David’s research has focused on the design and analysis of efficient algorithms for discrete optimization problems, with applications including scheduling, inventory theory, computational biology, computational sustainability, and most recently, data-driven decision-making in the sharing economy. His work has highlighted the central role that linear programming plays in the design of approximation algorithms for NP-hard problems; his book (co-authored with David Williamson), The Design of Approximation Algorithms, was awarded the 2013 Lanchester Prize by INFORMS.

David is a Fellow of the ACM, INFORMS, and of SIAM, was an NSF Presidential Young Investigator, and has served on numerous editorial boards, currently including Operations Research (co-Area Editor for Optimization) and Mathematics of Operations Research, as well as previous stints on the boards of ORSA Journal of Computing, Mathematical Programming, and the SIAM Journals of both Computing and Discrete Mathematics, where for the latter he also served as Editor-in-Chief.

3:30 pm3:50 pm
Speaker: Ciamac Moallemi, Professor, Columbia University

Ciamac received S.B. degrees in Electrical Engineering & Computer Science and in Mathematics from the Massachusetts Institute of Technology (1996). He studied at the University of Cambridge, where he earned a Certificate of Advanced Study in Mathematics, with distinction (1997). He received a Ph.D. in Electrical Engineering from Stanford University (2007). Prior to his doctoral studies, he developed quantitative methods in a number of entrepreneurial ventures: as a partner in a $200 million fixed-income arbitrage hedge fund, as the director of scientific computing at an early-stage drug discovery start-up, and as the founder of a computer security software start-up.

He holds editorial positions at the journals Operations Research and Management Science, and is a member of INFORMS. He is a past recipient of the British Marshall Scholarship (1996), the Benchmark Stanford Graduate Fellowship (2003), first place in the INFORMS Junior Faculty Paper Competition (2011), and the Best Simulation Publication Award of the INFORMS Simulation Society (2014). His research interests are in the area of the optimization and control of large-scale stochastic systems and decision-making under uncertainty, with an emphasis on applications in financial engineering.

3:50 pm4:10 pm
Speaker: Dan Boneh, Professor, Stanford University

Dan Boneh heads the applied cryptography group and co-directs the computer security lab. His research focuses on applications of cryptography to computer security. His work includes cryptosystems with novel properties, web security, security for mobile devices, and cryptanalysis. He is the author of over a hundred publications in the field. Dan is is a Fellow of the David Packard and Alfred P. Sloan Foundations. He is a recipient of the 2014 ACM prize and the 2013 Godel prize. In 2011 Dan received the Ishii award for industry education innovation. He received his PhD from Princeton University and joined Stanford in 1997.

4:10 pm4:30 pm
Speaker: Balaji Prabhakar, Professor, Stanford University

Balaji’s research interests are in designing algorithms and systems for the Internet, data centers and cloud computing platforms. Since 2008, he has worked on Societal Networks—networks vital for society’s functioning, such as transportation, health and waste management systems. In 2012, he co-founded Urban Engines, a startup that developed software, mobile, and big data solutions for smart cities, eCommerce/delivery systems and taxi/ridesharing fleets. Urban Engines was acquired by Google in 2016.

Balaji has been a Fellow of the Alfred P. Sloan Foundation and is a Fellow of the IEEE and the ACM. He received the CAREER award from the NSF in 1999. In 2000, he received the INFORMS Applied Probability Society’s Erlang Prize, and, in 2002, he received the Rollo Davidson Prize awarded by the University of Cambridge to young scientists of outstanding promise and achievements in probability, statistics and related fields. He delivered the Lunteren Lectures in 2008. In 2013, he was the inaugural recipient of the IEEE Societal Infrastructure Award for “his demonstration of the innovative use of information technology and distributed computing systems to solve long-standing societal problems, in areas ranging from transportation to healthcare and recycling.”

4:30 pm5:00 pm
Speaker: Moderator: Anil Kamath, Fellow and VP of Technology, Adobe

Anil Kamath is a web and technology entrepreneur. At Adobe, he is responsible for data science, machine learning and artificial intelligence in the Adobe Experience cloud. He was founder and primary architect of Efficient Frontier, a leading digital ad buying platform, until its acquisition by Adobe. Prior to that Anil, founded an ecommerce company called eBoodle that was acquired by Shopzilla. He has held leadership positions at Shopzilla and DE Shaw and received a PhD in Computer Science from Stanford University and a B.Tech in Computer Science from IIT Bombay. Anil is also an active angel investor and is on the investment committee for Stanford Angels & Entrepreneurs.