Having just wrapped up a successful ODSC Europe, we’re now turning our attention to ODSC West 2022 and we couldn’t be more excited to announce our first group of speakers. These innovators and experts have helped shape the fields of data science and AI into what we have today, and will continue to do so in the years to come. You can find a full list of our currently confirmed ODSC West speakers here, and a sneak peek of just a few of them (and their session topics) below.

Confirmed Sessions:

Self-Supervised and Unsupervised Learning for Conversational AI and NLP: Chandra Khatri | Chief Scientist and Head of AI | Got It AI

In recent years, the fields of NLP, robotics, and computer vision, among others, have seen significant advancement thanks to Self-supervised and Unsupervised learning techniques. This session will provide hands-on examples of how you can apply large language models and transformers to zero-shot and few-shot learning in NLP applications. 

Reasoning About the Probabilistic Behavior of Classifiers: Guy Van den Broeck, PhD | Director at StarAI (Statistical and Relational Artificial Intelligence Lab) | Associate Professor at UCLA

In this session, you will learn about recent developments in the field of learned classifiers. In particular, you will discuss explainable AI techniques (efficient SHAP explanations, probabilistic sufficient explanations) and how to include domain knowledge in machine learning models.

Beyond the Basics: Data Visualization in Python: Stefanie Molin | Data Scientist, Software Engineer at Bloomberg | Author of Hands-On Data Analysis with Pandas

In this session, you will learn how to use Python to create engaging visualizations for your data. You’ll also learn about HoloViz and how you can use it in combination with Matplotlib and Bokeh to create interactive visualizations.

The Data Science Behind the Data Science: Why Automated Labeling and Responsible AI are the Foundation of High-Quality Predictive Modeling: Rachel Kellam | Product Manager, AI Strategy & Business Transformation | Appen

During this session, you’ll learn about the challenges you might face when humans are responsible for data sourcing, data preparation, and model evaluation. You’ll also examine how you can optimize predictive modeling through responsible AI and automated labeling.


Confirmed ODSC West Speakers:

Jared Lander | Chief Data Scientist at Lander Analytics | Author of R for Everyone | Professor at Columbia Business School

Experienced in both industry and academic research, Jared Lander specializes in a range of fields from data management to generalized linear models to machine learning. He is also the author of R for Everyone: Advanced Analytics and Graphics.

Cassie Kozyrkov, PhD | Chief Decision Scientist | Google

In addition to being a renowned lecturer, Dr. Kozyrkov is responsible for instituting the practice of decision intelligence at Google, where she has personally trained over 15,000 of her colleagues.

Ville Tuulos | Co-founder & CEO | Outerbounds

Over his two-decade career, Ville has worked both in academia (as an ML researcher) and in industry. Notably, he led the ML infrastructure team responsible for Metaflow at Netflix. He is also the author of an upcoming book, Effective Data Science Infrastructure. 

Matt Harrison | Python & Data Science Corporate Trainer | Consultant at MetaSnake

During his career, Matt Harrison has worked in a variety of domains, including storage, build management and testing, BI, and search. Currently, utilizing his 20+ years of experience in Python, he runs MetaSnake.

Stefanie Molin | Data Scientist, Software Engineer at Bloomberg | Author of Hands-On Data Analysis with Pandas

In addition to being the author of Hands-on Data Analysis with Pandas, Stefanie Molin is a data scientist and software engineer at Bloomberg. In this role, she focuses on problems in information security, such as those centered on knowledge sharing, anomaly detection, and building tools for gathering data.

Dr. Jon Krohn | Chief Data Scientist | Nebula.io

Dr. Jon Krohn is an experienced and renowned data science instructor and lecturer who has presented at Columbia University, New York University, and the NYC Data Science Academy, as well on his A4N podcast and YouTube. He is also the bestselling author of Deep Learning Illustrated.

Aric LaBarr, PhDAssociate Professor of Analytics |Institute for Advanced Analytics at NC State University

Dr. LaBarr’s focus is on helping people use data to solve challenges. As such, he has helped design the first Master of Science in Analytics degree program. 

Dr. Jennifer PrendkiFounder and CEO |Alectio

Dr. Jennifer Prendki is the founder and CEO of the first startup focused on “automating the optimization of a training dataset”. She is also a top industry expert in active learning, data preparation, and machine learning lifecycle management.

Dr. Anju KambadurHead of AI Engineering | Bloomberg

An expert in machine learning, NLP, NLU, and more, Dr. Kambadur has published articles on NLP, machine learning, and high-performance computing. 

Andreas Mueller, PhDPrincipal Research SDE | Microsoft 

Dr. Mueller is one of the core developers of scikit-learn and the author of “Introduction to Machine Learning with Python”, which provides a practical approach on how to use python and scikit-learn for machine learning.

Register for ODSC West 2022

Remember, this is just the first group of expert ODSC West speakers to be confirmed. We’ve got a lot more to come over the next few months. Your chance to save 75% on an in-person or virtual ODSC West pass, however, expires this Friday. So get yours now, before this super early bird deal flees the coop forever.