Padhraic Smyth is a Chancellor’s Professor at the University of California, Irvine (UCI) with appointments in the Department of Computer Science and in the Department of Statistics. His research interests include machine learning, pattern recognition, and applied statistics and he has published over 200 research papers on these topics. He is a Fellow of the Association for Computing Machinery (ACM) and the Association for the Advancement of Artificial Intelligence (AAAI) and has served in editorial and advisory positions for journals such as the Journal of Machine Learning Research and the Journal of the American Statistical Association. He has co-authored two texts, Principles of Data Mining (MIT Press, 2001), and Modeling the Internet and the Web (Wiley, 2003). While at UCI he has received research funding from federal agencies such as NSF, NIH, NASA, and NIST, we well as from companies such as Google, Qualcomm, SAP, Adobe, IBM, Experian, and Microsoft. In addition to his academic research he is also active in industry consulting, working on the development of new machine learning algorithms and methods across multiple application areas. He also served as an academic advisor to Netflix for the Netflix prize competition from 2006 to 2009. Padhraic grew up in the west of Ireland and received a bachelor’s degree in Electronic Engineering from the National University of Ireland (Galway) in 1984. He then received Masters and PhD degrees (in 1985 and 1988 respectively) in Electrical Engineering from the California Institute of Technology. From 1988 to 1996 he was a Technical Group Leader at the Jet Propulsion Laboratory, Pasadena, and has been on the faculty at UC Irvine since 1996.

Carlos Guestrin is a Professor in the Computer Science Department at Stanford University. His previous positions include the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple, after the acquisition of Turi, Inc. (formerly GraphLab and Dato) — Carlos co-founded Turi, which developed a platform for developers and data scientist to build and deploy intelligent applications. He is a technical advisor for OctoML.ai. His team also released a number of popular open-source projects, including XGBoost, LIME, Apache TVM, MXNet, Turi Create, GraphLab/PowerGraph, SFrame, and GraphChi. Carlos received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, and IBM Faculty Fellowship, and was named one of the 2008 ‘Brilliant 10’ by Popular Science Magazine. Carlos’ work received awards at a number of conferences and journals, including ACL, AISTATS, ICML, IPSN, JAIR, JWRPM, KDD, NeurIPS, UAI, and VLDB. He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA.

Dom Divakaruni is Group Product Manager with Microsoft’s Azure AI Platform, where he is responsible for services that help customers build the next generation of apps, like GitHub Copilot – powered by OpenAI’s GPT-3 and Codex models. Previously, he led Product for AWS AI services like Inferencia and Elastic Inference and initiatives like Apache MXNet. Dom has a degree in Electrical Engineering from the University of Maryland.

Peter Welinder is VP of Product and Partnerships at OpenAI. He leads commercialization of OpenAI’s research, including OpenAI’s GPT-3 and Codex API and the Github Copilot partnership. Previously, he founded and led applied machine learning engineering and product at Dropbox. He was co-founder and CEO of Anchovi Labs (acquired by Dropbox). Peter has a PhD in Computation and Neural Systems from Caltech and a degree in Physics from Imperial College London.

Adi Hirschtein contributes 20 years of experience as an executive, product manager and entrepreneur building and driving innovation in technology companies. As the VP of Product at Iguazio, the data science platform built for production and real-time use cases, he leads the product roadmap and strategy.

His previous roles spanned technology companies such as Dell EMC, Zettapoint and InfraGate, in diverse positions including product management, business development, marketing, sales and execution, with a strong focus on machine learning, database and storage technology. When working with startups and corporates, Adi’s passion lies in taking a team’s ideas from their very first day, through a successful market penetration, all the way to an established business.

Adi holds a B.A. in Business Administration and Information Technology from the College of Management Academic Studies.

Lama Nachman is an Intel Fellow and Director of Human & AI Systems Lab in Intel Labs. Her research is focused on creating contextually aware experiences that understand users through sensing and sense making, anticipate their needs and act on their behalf. She leads a multi-disciplinary team of researchers that explore new user experiences, sensing systems, algorithms and applications and transfer these capabilities to biz units to impact future Intel products. Lama has 23 years of experience in the areas of context aware computing, multi-modal interactions, sensor networks, computer architecture, embedded systems and wireless technologies. Previous assignments at Intel involved researching and developing the next generation of self-organizing sensor network nodes (Intel Mote Platforms). She deployed these technologies in health applications as well as various commercial and industrial settings. Prior to joining Intel, Lama has held senior positions at Ubicom Inc, Weave Innovations and Microsoft Corporation. Lama received her MS and BS in computer engineering at the University of Wisconsin-Madison.

Jacopo Is a Senior Software Engineer at Red Hat, where he contributes to TrustyAI development and other Red Hat Cloud platform services. Jacopo graduated in Computer Science at the University of Milan with a thesis on the regret minimization for reserve prices in Second-Price auctions. Before joining Red Hat, Jacopo worked for one of the largest reinsurance companies on a white label telematics product for the motor insurance market distributed worldwide.

Marinela Profi is a Global Strategist for AI, with a focus on ModelOps solutions. She is interested around strategies for putting machine learning in production and turning models into trusted decisions efficiently. Marinela started her career as a Sales Engineer for Advanced Analytics, developing solutions for banking, retail, and manufacturing industries. Her main contributions have been around combination of forecasting and machine learning techniques. Her background is a mix of Business Administration, Statistics, and Marketing. She holds a Master of Science in Business Administration and a Master in Statistics from the University of Rome. Marinela is a Global Ambassador and member of Women Tech Network, an organization that enables women’s empowerment in tech through leadership development, and speaker at the International Symposium of Forecasting. She is also the author of the ebook “Mastering Model Lifecycle Orchestration: An interactive guide”.

Lenny Isler has been with HP for 8 years, 6 of them in the public sector area. Lenny has been a sales generalist, a Z workstation Specialist and a Business Development Manager while at HP. Lenny has extensive knowledge in high performance computing, data Science, Ai and machine learning.

James Olejniczak is a Product Manager within the Data Management Solutions product management team at S&P Global Market Intelligence. He leads multiple teams in developing visualizations for the S&P Global Marketplace platform. As a Business Intelligence (BI) tool expert, Mr. Olejniczak is responsible for guiding initiatives and assisting clients in bridging the gap between highly structured data and data structured for optimized BI ingestion. Preceding his role in Product Management, James has a vast spectrum of experience in his eight years at S&P Global from fundamental data collection to the onboarding and continued support of feed clients. Mr. Olejniczak holds a bachelor’s degree in business finance from the Metropolitan State University of Denver.

Reah Miyara is Head of Product at Arize AI; a startup focused on ML Observability. He was previously at Google AI, where he led product development for research, tools, and infrastructure related to graph-based machine learning, data-driven large-scale optimization, and market economics. Reah’s experience as a team and product leader is extensive, building and growing products across a broad cross-section of the AI landscape. He’s played pivotal roles in ML and AI initiatives at IBM Watson, Intuit, and NASA Jet Propulsion Laboratory. Reah also co-led Google Research’s Responsible AI initiative, confronting the risks of AI being misused and taking steps to minimize AI’s negative influence on the world. He has a bachelor’s from UC Berkeley’s Electrical Engineering and Computer Science program and was the founder and president of the Cal UAV team in 2014.

Grzegorz (Greg) Gawron, MScEng, is a Staff Software Engineer at LiveRamp. He is focused on practical applications of differential privacy and other privacy-enhancing technologies, continuing his work from DataFleets, which was acquired by LiveRamp in February 2021. During his recent engagement at the IQSS/Harvard OpenDP Fellows program, he explored the privacy implications of split learning. He obtained his Master’s degree in computer science and has a Master’s degree in economics from Warsaw University in Poland. He is currently working toward a computer science PhD at AGH University of Science and Technology in Krakow. 

Mitali is a Senior Data Scientist at SaturnCloud. She has over 7 years of experience in software engineering and business analysis at Oracle and Accenture. Mitali holds a masters in Computer Science. Outside of work she likes running and hiking.