ODSC East 2022 tutorial, workshop, and training prerequisites and resources will be available here on or after April 1st
A partial list of confirmed talks sessions are listed below and slide decks will be updated post-event pending speaker approval. A complementary coding community pass is available here.
The Wisdom of the Cloud Allen Downey, PhD | Professor | Olin College and Author of Think Python, Think Bayes,
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z. Leibo, PhD, Research Scientist, DeepMind
Learned optimizers Luke Metz | Research Scientist | Google Brain
Data Boards: A Collaborative and Interactive Space for Data Science Tim Kraska, PhD | Professor, MIT ,CSAIL,Co-director DSAIL, Co-founder Einblick Analytics
Just Machine Learning Tina Eliassi-Rad, PhD | Professor | Northeastern University
Overconfidence in machine learning: do our models know what they don't know? Padhraic Smyth, PhD | Chancellor's Professor | UC Irvine
Unlocking the Value of Siloed Data with Multi-party ML Roshanak Houmanfar | VP Machine Learning Products | Integrate.ai
Democratizing Access to Data with Synthetic Data Generation Daniel Nissani | Machine Learning Scientist | Gretel.Ai
The Origins, Purpose, and Practice of Data Observability Kevin Hu | Co-founder and CEO | Metaplane
Shadow AI, the Silent Killer of Deep Learning Productivity Gijsbert Janssen Van Doorn | Director of Technical Product Marketing | Run:Ai
Quick to production with the best of both spark and tensorflow Ronny Mathew | Senior Data Scientist | Rue Gilt Groupe
MLOps: From 0-60 with Pachyderm Jimmy Whitaker | Pachyderm, Jeffrey Saltz, PhD | Associate Professor | Syracuse University
Leveling Up Your Organization's Capacity for Data-informed Decisions Mona Khalil | Data Science Manager | Greenhouse Software
InfluxDB: The Database for Your Time Series Data Science Problems Anais Dotis-Georgiou | Developer Advocate | Influxdata
From Experimentation to Product The Production ML Journey | Robert Crowe | TensorFlow Developer Engineer | Google
Feature Engineering on the Modern Data Stack Andrew Engel, PhD | Chief Data Scientist | RasgoML
Best Practices for Data Annotation at Scale Jai Natarajan | Vice President, Strategic Business Development | iMerit
AI Observability: How To Fix Issues With Your ML Model Danny D. Leybzon | MLOps Architect | WhyLabs
Make your Machine Learning Models Mean more with Mathematical Optimization Dr. Alison Cozad | Optimization Engineer | Gurobi
Accelerating MLOps with Kubernetes, CI/CD & GitOps Subin Modeel | Product Manager | OpenShift
Model Registry with Open Source Tools: Git, GitHub and CI/CD Dmitry Petrov, PhD | CEO | Iterative.ai
A Unified View of Trustworthy AI with the 360 Toolkits Kush R. Varshney Ph.D. | Research Staff Member and Manager | IBM
Machine Learning for A/B Testing Alex Peysakhovich, PhD | Senior Research Scientist | Facebook AI Research
Evaluating, Interpreting, and Monitoring Machine Learning Models Ankur Taly, PhD | Staff Research Scientist | Google
Emotion Detection with Natural Language Inference Serdar Cellat, PhD | Lead Machine Learning Scientist | Y Meadows
ImageNet and its Discontents. The Case for Responsible Interpretation in ML Razvan Amironesei, PhD | Applied Data Ethicist, Visiting Researcher | Google
Interpretable Machine Learning: Moving From Mythos to Diagnostics Ameet Talwalkar, PhD | Assistant Professor, Machine Learning | Carnegie Mellon University
Gym and the Future of Reinforcement Learning J K Terry | PhD Student, Founder and CEO | University of Maryland College Park, Farama Foundation
Using AI for Immunogenicity Potential Assessment in Drug Discovery Jiayi Cox, PhD | Data Scientist | Novartis
Trustworthy AI Jeannette M. Wing, PhD | Data Science Institute | Professor of Computer Science | Columbia University
Making Apache Spark, Apache Mahout, Kubeflow, and Kubernetes Play Nice Trevor Grant | Managing Partner | Aboriginal Armadillo
The Origins, Purpose, and Practice of Data Observability Kevin Hu | Co-founder and CEO | Metaplane
Security Operations for Machine Learning at Scale with MLSecOps Alejandro Saucedo | Engineering Director, Machine Learning | Seldon
Scaling AI Workloads with the Ray Ecosystem Robert Nishihara | CEO and CoFounder | Anyscale
Open-source Best Practices in Responsible AI Violeta Misheva, PhD, Senior Data Scientist, ABN Amro | Daniel Vale , Legal Counsel for AI H&M
Methods and Tools for Time Series Data Science Problems with InfluxDB Anais Dotis-Georgiou | Developer Advocate | Influxdata
Mapping for Climate Change with Deep Learning on Remotely Sensed Imagery Jeremy Irvin | PhD student | Stanford Machine Learning Group
Kubernetes - Observability Engineering Ravi Kumar Buragapu | Sr. Engineering Leader - Observability Engineering | Adobe Systems Inc
Introducing Model Validation Toolkit Alex Eftimiades, Matt Gillett | Senior Data Scientist, Software Development Engineer In Test | FINRA
A Simple Approach to The Infinitely Complex Ransomware Problem Jerald Ray | Chief Operations Officer | SecureAge Technology
Deploying AI for Climate Adaptation: A Spotlight on Disaster Management Thomas Y Chen | Student Researcher | Academy for Mathematics, Science, and Engineering
Data Science in the Cloud-Native Era Yuan Tang | Founding Engineer Akuity, Co-chair, Kubeflow
What I love and hate about Dask Matthew Rocklin, PhD | CEO and founder | Coiled
The Power Of Hexagons: How H3 & Foursquare Are Transforming Spatial Analytics Nick Rabinowitz | Senior Staff Engineer | Foursquare
Building Privacy in Public Lipika Ramaswamy | Senior Applied Scientist | Gretel.Ai
Responsible AI for customer product organizations Aishwarya Srinivasan | Data Scientist | Google Cloud AI Services