601 19th St. San Francisco, CA 94107
The hallmark of the By the Bay events is their absolute NoBS character:
Now, having reached a critical mass with four years of major conferences, and more than 600 resulting videos on our FunctionalTV channel, we believe we can produce high-level conferences which will be as good as any other, but different in one key way. Our full-stack speakers and panelists are those developers, data scientists, and entrerepneurs who built companies from scratch, who pushed the envelope of technology, and have risen to a vantage point where they see the future. But in addition to being able to reason about it, they are building it, and they know how it will be built. It is the high level view from those who can go down to the metal and high into the sky. By those who can talk the talk and walk the walk.
George Francis Hotz, alias geohot, is an American hacker known for unlocking the iPhone, allowing the phone to be used with other wireless carriers. Since September 2015, Hotz has been working on his own AI startup called comma.ai. Hotz has built a working self-driving 2016 Acura ILX, which he demonstrated on the I-280 in a video.
Previously Peter was head of Google's core search algorithms group, and of NASA Ames's Computational Sciences Division, making him NASA's senior computer scientist. He received the NASA Exceptional Achievement Award in 2001. He has taught at the University of Southern California and the University of California at Berkeley, from which he received a Ph.D. in 1986 and the distinguished alumni award in 2006. He was co-teacher of an Artifical Intelligence class that signed up 160,000 students, helping to kick off the current round of massive open online classes.
Shubha Nabar is a Director of Data Science at SalesforceIQ, where her team is creating intelligent tools for Salesforce’s Customer Success platform. Previously, Shubha obtained a PhD in Computer Science from Stanford University and worked as a Senior Data Scientist at Linkedin.
At Data Collective, Jean focuses on applying artificial intelligence to novel and high-impact problems in the real world, as well as improving the workplace through better enterprise technology. Prior to joining DCVC, she worked at McKinsey & Company, where she advised executive teams on company-defining decisions, including data and technology strategy and M&A. Her favorite project gave her the opportunity to define McKinsey’s perspective on automation, the future of work, and machine learning.
Jean holds an S.B. from MIT in Brain and Cognitive Sciences and Management Science, where she focused on computational cognitive science and finance, respectively.
Professor of Computer Science and Smith-Zadeh Professor in Engineering, University of California, Berkeley.
A startup Jeremy founded to use recent advances in machine learning to transform the practice of medicine, and bring modern medical diagnostics to billions of people in the developing world for the first time.
Peter Skomoroch is cofounder and CEO of Skipflag. SkipFlag is using machine intelligence to build the workplace knowledge graph. Their product turns conversations into knowledge to proactively keep you up to date at work. Previously, he was Principal Data Scientist at LinkedIn where he led teams focused Reputation, Inferred Identity and Data Products like LinkedIn Skills and LinkedIn Endorsements.
Senior Research Scientist at Semantic Machines, working to build dialogue systems that you can actually have a conversation with.
Dr. Ungar has published over 200 articles and holds eleven patents. His current research focuses on statistical natural language processing, spectral methods, and the use of social media to understand the psychology of individuals and communities.
David is an investor with Amplify Partners, an early-stage VC focused on the next generation of infrastructure IT, data and information security companies. He began his career in technology as the co-founder and CEO of Chartio.com, a pioneering provider of cloud-based data visualization and analytics. He was subsequently part of the founding team at Patients Know Best, one of the world's leading cloud-based Personal Health Record (PHR) companies.
Prior he was the CEO and founder of MetaMind, a startup which was recently acquired by Salesforce. MetaMind seeks to improve artificial intelligence and make it widely accessible. He obtained his PhD from Stanford working on deep learning with Chris Manning and Andrew Ng and won the best Stanford CS PhD thesis award. He is interested in developing new AI models that perform well across multiple different tasks in natural language processing and computer vision. He was awarded the Distinguished Application Paper Award at the International Conference on Machine Learning 2011, the 2011 Yahoo! Key Scientific Challenges Award, a Microsoft Research PhD Fellowship in 2012 and a 2013 "Magic Grant" from the Brown Institute for Media Innovation and the 2014 GigaOM Structure Award.
Andrew Burgert is CEO of Azumo, a San Francisco-based data and AI development firm helping companies build intelligent applications by focusing on natural language and conversational interfaces. Andrew has more than 20 years of experience in technology, private and public investing, investment banking, consulting and management roles at operating companies. Andrew holds an MBA and M.S. in Information Systems from Boston University and a B.S. in Business Administration and B.S. in Information Systems from Universidad de Buenos Aires. Andrew also serves as an Advisory Council member at IBM’s Spark Technology Center.
Jake Flomenberg joined Accel in 2012 and focuses on next-generation infrastructure, enterprise software, and security investments. Jake is part of the team responsible for Accel's Big Data Fund and led investments in Demisto, Origami Logic, Sumo Logic, Trifacta and Zoomdata. Prior to Accel, Jake was director of product management at Splunk, where he was responsible for the product’s user interface and big data strategy.
Tom Brown is a member of the technical staff at OpenAI, where he heads the Gym and Universe projects. Before OpenAI, Tom founded YC-backed Grouper Social Club, and studied computational cognitive science at MIT.
Ben is the CoFounder of BootstrapLabs, a leading venture capital firm, based in Silicon Valley and focused on Applied Artificial Intelligence. Some of BootstrapLabs’ portfolio companies include Prezi, AngelList, Zerply, Trusted Insight, AEye, Qurious.io, Roger.ai, Vidora, and Sibly. Born in France and living in Silicon Valley for the past 18 years, Ben is a repeat entrepreneur who launched, built, and exited two startups in the financial technology space.
H2O democratizes bigdata science and makes hadoop do math for better predictions. Before H2O, Sri spent time scaling R over bigdata with researchers at Purdue and Stanford. Prior to that Sri co-founded Platfora and was the Director of Engineering at DataStax. Before that Sri was Partner & Performance engineer at java multi-core startup, Azul Systems, tinkering with the entire ecosystem of enterprise apps at scale.
Francois is the author of Keras, one of the most widely used libraries for deep learning in Python. He has been working with deep neural networks since 2012. Francois is currently doing deep learning research at Google. He blogs about deep learning at blog.keras.io.
Adam is a product guy. He is an investment partner at Comet Labs, a cross between a venture fund and experimental research lab that focuses on AI and robotics. Adam previously co-founded a consumer electronics company, which designs, manufactures, and sells mobile phone accessories. He has spent time living in China and working in a production environment.
Yishay Carmiel is the head of Spoken Labs, a big data analytics unit that implements bleeding-edge deep learning and machine-learning technologies for speech recognition, computer vision, NLP, and data analysis. Yishay and his team are working on state-of-the-art technologies in artificial intelligence, deep learning, and large-scale data analysis. He has 15 years’ experience as an algorithm scientist and technology leader working on building large-scale machine-learning algorithms and serving as a deep learning expert.
Sonal Gupta is a natural language researcher at Viv Labs working on improving language understanding by virtual assistants. She has a PhD from Stanford where she worked on information extraction using weakly supervised learning techniques.
Bradford has over 15 years of experience in building statistical trading strategies, and the better part of a decade in machine learning and large-scale systems engineering, including 2 years working on distributed systems at Google. He studied Computer Engineering and Finance at Virginia Tech, and Mathematics at Berkeley.
Dennis Yang is co-founder and CPO of Dashbot, an analytics platform for bots. Prior to Dashbot, he co-founded Bureau of Trade, a vintage marketplace (acquired by eBay), co-founded Techdirt, the popular technology blog, and was the ninth employee of both Infochimps (acquired by CSC) and mySimon (acquired by CNET). He earned his engineering degree from Cornell University and lives in San Francisco with his wife Tricia and dog Bear, who introduced them. You can follow him on Twitter at @sinned.
Adam Gibson is an entrepreneur and computer scientist. He co-founded the artificial intelligence/machine learning company Skymind.io and the open source frameworks Deeplearning4j and ND4J, or n-dimensional arrays for Java. He is also advisor to the data science master's program at GalvanizeU in San Francisco.
Director of Corporate Strategy, Grab, and Regional Head, GrabHitch, for Singapore, Kuala Lumpur (Malaysia) and Jakarta (Indonesia)
Chris is a regular speaker at many conferences and Meetups throughout the world. He’s also an Apache Spark Contributor, Netflix Open Source Committer, and Founder of the Global Advanced Spark and TensorFlow Meetup, and Author of the upcoming O'Reilly Video Series on Deploying and Scaling Distributed TensorFlow in Production. Previously, Chris was a Distributed Systems Engineer at Netflix, Data Solutions Engineer at Databricks, and a Founding Member of the IBM Spark Technology Center.
Prior to Salesforce, Vitaly was a data science lead at LinkedIn, founded the data science team at LivePerson and worked in the elite 8200 unit, leading a team of researchers in developing algorithms to fight terrorism. His contributions have been recognized through a number of awards including the “Life Source” award, an award given each year deemed most high-impact in saving lives. Vitaly holds a B.Sc in Computer Science and an MBA from the Israeli Institute of Technology.
Mike serves as Takt Chief Data Science Officer, is part of the UC Berkeley iSchool DS faculty, and sits as DS advisor for several Machine Learning projects including Corvana, Skymind/DL4J, and InterTrust. Mike has led several teams of Data Scientists in the bay area as Chief Data Scientist for InterTrust, Director of Data Sciences for MetaScale/Sears, and Chief Science Officer for Galvanize where he oversaw Galvanize’s transformation into the premier Data Science immersive education institution and founded the galvanizeU-UNH accredited MS in DS degree.
He has worked as a Senior Scientist and Manager within the Ranking and Management Team at Powerset, Inc., a natural language search technology company later acquired by Microsoft, and also led the Search Relevance Team for Yahoo! Japan. He graduated from Stanford University with a BS in Mathematics and a MS in Computer Science.
Caltech - Astrostats - PhD supercomputing. Now data labs @stitchfix coding up word2vec, Gaussian Processes, t-SNE, tensors, Factorization Machines, RNNs, & VI
Stephen Merity is a senior research scientist at MetaMind, part of Salesforce Research, where he works on researching and implementing deep learning models for vision and text, with a focus on memory networks and neural attention mechanisms for computer vision and natural language processing tasks.
Sara is a Director of Product Management for Salesforce Einstein, where she creates products that let people build smarter applications with Salesforce and advanced AI. Prior to Salesforce, Sara worked at Alpine Data where she was chief product manager and founding director of Alpine Labs. Sara holds an AB in mathematics from Princeton University and a PhD in mathematics from Northwestern University.
Dr. Arno Candel is the CTO at H2O.ai, the makers of the distributed and scalable open-source machine-learning platform H2O. Arno is also the main author of H2O’s Deep Learning and key contributor to H2O's GBM and DRF algorithms. Arno spent the last 5+ years designing and implementing high-performance machine-learning algorithms.
Dan is the Director of Machine Learning at Arterys, a startup focused on streamlining the practice of medical image interpretation and post-processing. After receiving a PhD in Electrical Engineering from Stanford, he stuck around for a postdoc, focusing on using machine learning to predict outcomes and disease characteristics in cancer patients.
Joel Horwitz is the Vice President, Ecosystem and Partnership Development, IBM. He graduated from the University of Washington in Seattle with a Masters in Nanotechnology with a focus in Molecular Electronics. He also hails from the University of Pittsburgh with an International MBA in Product Marketing and Financial Management.
I am a serial Intrepreneur with a number of very successful projects to my credit. My responsibility is to push frontiers of technology to create next generation products in the area of Big Data, Data Analytics and Data Science. A technologist at heart, I focus on value creation using technology rather than technology itself.
Feynman is the engineering manager at Gigster and a statistics PhD student at UC Berkeley. His research lies at the intersection between industry and academia, focusing on distributed machine learning and practical systems for deploying machine learning in production. He is a contributor to Apache Spark and a recreational producer of electronic music.
Michael Ludden is the IBM Watson Developer Labs Program Director and Senior Product Manager. Previously, Michael was Lead Developer Marketing Manager at Google, Head of Developer Marketing at Samsung, a Developer Evangelist at HTC, Global Director of Developer Relations at startups Quixey & Nexmo, and was involved at various times in development, product marketing, co-founding startups, tech show hosting, and even cruise-ship singing (don’t ask).
Eduardo Arino de la Rubia is Chief Data Scientist at Domino Data Lab. Eduardo is a lifelong technologist with a passion for data science who thrives on effectively communicating data-driven insights throughout an organization. He is a graduate of the MTSU Computer Science department, General Assembly’s Data Science program, and the Johns Hopkins Coursera Data Science specialization.
John Eggert has more than 20 years of international experience in program management and sales and marketing management of products for the automotive industry, including automotive interiors and passive safety components and systems. His curiosity about the trends and technologies that will upend the automotive industry in coming decades led him to Velodyne LiDAR in 2015.
Christopher Heiser is co-founder and CEO of Renovo, a Silicon Valley technology company focused on the challenges of Autonomous Mobility on Demand (AMoD). He has built his career taking disruptive technologies to market; his previous roles include pioneering the camera phone (LightSurf), creating groundbreaking consumer products (IDEO) and building massively scalable global software systems (VeriSign). Mr. Heiser received his degree in Mechanical Engineering from Carnegie Mellon where he designed and built autonomous vehicles and exoplanet rovers. He successfully led teams in robotics competitions to multiple world championships, and at IDEO he helped win the inaugural Sandhill Challenge.
Wolfgang Juchmann, Ph.D. has more than 16 years of international experience in technical sales, product management and business development of high-tech products for a variety of applications. Wolfgang became more involved with autonomous vehicles and perception sensors for ADAS and level 4 autonomy as Director of Sales and Marketing at Velodyne LiDAR. Since January 2016 he has expanded his expertise at AutonomouStuff to also include radar, vision and ultra-sonic sensors, real-time 3D data fusion middleware, fully by-wire controllable Autonomous Development vehicles and recently, modular software algorithms for advanced autonomous driving tasks.
Jur van den Berg is a founding employee of the start up Otto, which started in the beginning of 2016 to develop technology, software, and infrastructure for self-driving trucks. Otto was recently acquired by Uber, where Jur is now officially a senior staff engineer. Jur has expertise in a broad range of subjects in robotics, but his core expertise and main subject area in his academic and industrial career of almost ten years has been motion planning, most recently with a specific focus on self-driving vehicles.
David Silver leads the Self-Driving Car Team at Udacity, which is launching a nine-month program to train engineers to work in the autonomous vehicle industry. Prior to Udacity, David was a Research Engineer at Ford Motor Company. Before Ford, David worked in engineering and product roles at Candidate Metrics, mSpot, and AOL. He has an MBA from Stanford University, and a BSE in computer science from Princeton University.
Ted Graham is the head of Open Innovation at General Motors where he helps identify partnerships that will help build new forms of mobility including autonomous and connected vehicles. He is also the former Innovation leader at PWC and a McKinsey strategy consultant with a focus on understanding and leveraging people networks to influence the spread of ideas.
Karen Tay is Singapore’s Smart Nation Director covering North America. She is experienced in policy, strategy, engagement and regulation across a variety of public sector domains. Prior to her current job, she worked in Finance, Education and the Prime Ministers’ Office, and has been a speechwriter and adviser to Singaporean Ministers. She is passionate about deploying technology for public good and writes at www.techandpublicgood.com.
Elliot is Global Co-Chair of DLA Piper's Connected and Self-Driving Car Practice. In that role he advises automakers, tech companies, and municipalities on regulatory, policy, and privacy issues pertaining to these types of vehicles. Elliot regularly speaks and writes on self-driving car issues and has recently been quoted in articles on this topic in The Chicago Tribune, The San Francisco Chronicle, The Miami Herald, Bloomberg, Yahoo Finance, TU Automotive, Law360, and eSecurity Planet.
Lead marketing for NVIDIA's Automotive Business Unit, delivering solutions to automakers for self driving cars, infotainment, digital instrument clusters, rear seat entertainment and advanced driver assistance systems.
Doug Davenport founded Prospect Silicon Valley, a nonprofit urbantech innovation hub bringing startups and product teams with government agencies to accelerate innovation in transportation, energy and environment. As the founding CEO, he advised numerous clients and partners from product use case to commercialization, and built a program that has produced over $140M in investment and $50M in public financing for emerging technology field trials and early adoption.
Will directs the Arup Americas Transport and Mobility Business out of San Francisco where he also leads the local Planning Practice. An engineer by training, he applies his technical background to site, campus, corridor, and regional planning efforts. He is at the forefront of rapidly emerging urban mobility trends and technologies, advising public and private sector clients on the implications of autonomous vehicles, smart mobility, shared-use concepts, and technology-enabled mobility services.
Mark Harris is an investigative technology reporter based in Seattle, writing regularly for The Guardian, Backchannel, Recode, MIT Technology Review and IEEE Spectrum. He has broken many stories about self-driving vehicles, including exclusives about Google, Apple, Uber, Otto, Tesla, Zoox, Atieva, Faraday Future, Sidewalk Labs, and Optimus Ride. Most recently, one of his public records requests for Backchannel triggered Waymo’s lawsuit against Uber. In 2014, he was Knight Science Journalism Fellow at MIT, and in 2015 he won the AAS Kavli Science Journalism Gold Award.
Josh Hartung is the CEO and Co-Founder of PolySync, the company that is building an operating system on the forefront of the autonomous car movement. Josh started PolySync because of insights he developed while working with some of the world’s most accomplished automated driving teams—including OEMs and suppliers in automotive, agriculture, mining, military, and UAVs.
Automated Driving, R&D leadership Energy storage (for automotive and stationary applications), control systems, combustion, CFD simulation, ab-initio simulation, MEMS. Passion for autonomous vehicles, machine learning, renewable energy, electric vehicles, high-performance computing, aerospace.
Daryn serves as the CTO of Mighty AI, a Seattle-based startup that delivers the training data companies need to build computer vision and natural language models. Daryn has worked in a variety of technical roles in the Internet/Web industry for the past 20 years. Prior to cofounding Mighty AI in October 2014, he led engineering teams at several companies, including Spam Arrest, Eyejot, TeachStreet, Amazon and Porch.
Stefan Seltz-Axmacher is CEO and Founder of Starsky Robotics. The company is backed by Y-Combinator, Trucks.vc, Data Collective, Joe Montana, the founders of Access America and many other top tier investors.Prior to founding Starsky Robotics; Stefan worked with a number of Silicon Valley, partnering with innovators in logistics, innovation, and much more. He holds a degree in International Business from Drexel University.
Kartik Tiwari is the CTO and co-founder of Starsky Robotics. He has a background in Robotics from Carnegie Mellon University and previously was the CEO of UpDroid, a consumer robotics startup.
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601 19th St. San Francisco, CA 94107