Katya Kudashkina, Tech Entrepreneur, M.B.A., Ph.D.

About me

In June 2026, I was promoted to Vice President, AI and Machine Learning at Dayforce (formerly Ceridian), where I joined in May 2022. I was previously promoted to Senior Director, AI and Machine Learning in April 2024.

I completed my Ph.D. in AI in 2021, co-supervised by Richard S. Sutton (University of Alberta, Amii), recipient of the 2024 A.M. Turing Award, and Jakob Foerster (University of Oxford). My research focused on Model-Based Reinforcement Learning for Developing Intelligent Assistants.

My career spans corporate leadership, AI research, and entrepreneurship. I founded two startups—UDIO AgTech and Cultura—that participated in Creative Destruction Lab, Next Founders, and NextAI. I began my career at IBM (2009), spent five years at CPP Investments, and later led advanced analytics strategy as Director, Data Analytics at Revera before joining Dayforce.

I moved to Canada at 22 and earned an Honours B.Sc. in Computer Science from Ryerson University and an MBA from the University of Toronto’s Rotman School of Management.

Before Canada, I grew up in a small village in Siberia and left home at 16 to study engineering at ITMO University in Saint Petersburg. Somewhere along the way, I also managed a crepe restaurant—which remains one of the more unexpected chapters of my career.

Interests 

AI & machine learning, reinforcement learning, psychology, human-computer interaction, intelligent assistants, conversational AI—and life beyond technology: surfing, beach volleyball, and yoga.

Invited Talks, Webinars & Workshops

• Invited Speaker, AI that works: How Dayforce powers smarter workforce decisions, Dayforce Summit, Canada, June, 2026

• Invited Speaker, Quantifiable Value of AI, Dayforce Sales Kick Off, Canada, January, 2026

• Invited Speaker, From Resilience to Regeneration, Arrell Food Summit, Canada, October 2025

• Invited Speaker, Trustworthy AI: From Ideation to Model, Big Data Summit, Canada, May, 2025

• Speaker on AI Advancements at Dayforce, Dayforce Insights Conference, October, 2023.

• Invited Speaker, Reinforcement Learning and the Future of Conversational AI, January, 2022, Webinar 

• Invited Speaker, TorontoMachine Learning Series Micro-Summit, July, 2019, Topic: Model-based Reinforcement Learning

• Co-organized Curiosity for DecisionMaking Workshop at the Multi-disciplinary Conference on ReinforcementLearning and Decision Making, 2019

• Invited Speaker, NeurIPS, 2018, Topic: From Lab to Startup-How to Commercialize your AI Research

• Co-organized Data Management Practices Workshop, University of Guelph, 2018

• Invited lecture at CIFAR, AIFuture Policy Lab, 2018, Topic: Foundations of AI

• Guest lecture at the University of Guelph, Fall, 2018, Topic: Modelling Complex Systems

• Invited Speaker, Rotman School of Management, Spring, 2018, Topic: Introduction to AI, a lecture for 300 students

• Invited Speaker, MachineLearning and Market for Intelligence Conference, 2016

Honours and Awards

• 2023. P&T Innovation & David Klebanoff Innovator Awards winner for Q3-2023. The award reflects my work in leading innnovation and building product at Dayforce (former Ceridian).   

• 2020. Tim Price Alumni Community Award. The award reflects my commitment to NEXT's alumni community and the mission to create a more prosperous Canada.

• 2020. CIFAR Collaborative Research Catalyst Grant

• 2017. Arrell Scholarship.

• 2015. Gordon Cressy Student Leadership Award, University of Toronto. The award recognizes outstanding extra- curricular contributions.

• 2015. Top 6 in 2015 Hult Prize Challenge. Out of 59 competing international teams for innovative ideas to build a sustainable early childhood education start-up enterprise

• 2014. Dean’s Honour List, University of Toronto

• 2008, 2009, 2010. Dean’s Honour List, Ryerson University 

• 2001. Silver Medal. Russia. Students who received 4 out of 5 in only one subject and the highest grade (5 out of 5) in every other subject receive a Silver Medal 

Publications and Pre-Prints

Kudashkina, K., Wan, Y., Naik, A., & Sutton, R. S. (2021) Planning with Expectation Models for Control, ArXiv:2104.08543

Kudashkina, K., Pilarski, P. M., & Sutton, R. S. (2020). Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI. ArXiv: 2008.12095

Kudashkina, K., Wittek, P., Kiros, J., & Taylor, G. W. (2020). Modular Length Control for Sentence Generation. In Proceedings of the 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.

Kudashkina, K., V. Chockalingam, V., Taylor, G. W., and Bowling, M.: Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task. ArXiv: 2004.13657 

Kudashkina, K., Corradini, M., Thirunathan, P., Yada, R., & Fraser, E. (2022)  Artificial Intelligence technology in food safety: A behavioral approach

Trends in Food Science & Technology 924-2244(123), 376-381, doi:10.1016/j.tifs.2022.03.021

Duncan*, E., K. Kudashkina*, K., Nixon*, A., (2018) Agricultural Research Data Governance: Principles and Pathways, Presented as a poster at the Arrell Food Summit and as oral at The 8th International Conference on Sustainability and Responsibility. (*) Equal contribution.

Ilie, S., Kudashkina, K., (2010) A model reduction technique for stochastic biochemical kinetics, Proc. of The International Conference on Bioinformatics & Computational Biology(2), CSREA Press, Las Vegas, pp. 448-453.

Selected Research Talks & Other Media Coverage

• Conference Talk Big Data and Analytics Summit  Trustworthy AI: From Ideation to Model

• Conference Talk, Modular Length Control for Sentence Generation. The 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

• Tea-Time Talk, Planning with Expectation Models for Control, RLAI Lab, University of Alberta

• Research Talk, NeurIPS recap, MLRG, University of Guelph

• Tea-TimeTalk, Model-based ReinforcementLearning for an interactive Dialogue Task, RLAI Lab, University of Alberta

• Research Talk at the Vector Institute for Artificial Intelligence, 2018, Topic: Advances in automatic document summarization

• Interview with Anthony Lacavera, Globalive Media, 2018

• AMII School’s in for summer: Students talk Deep Learning & Reinforcement Learning Summer School 2018

• "Among CDL’s ‘graduating’ companies, which best personifies your vision?" Interview with Ajay Agrawal, Commentwise, 2018

• Axios article, featuring Elissa Strome, Executive Director of the Pan-Canadian AI Strategy, Yoshua Bengio, and Katya Kudashkina, DLRL summer school attendee, 2018

• NextAI’s first cohort shows how far Canada’s AI scene has come in past 12 months, IT World Canada, 2017

• Interview for Rotman Morning MBA Student Profile, 2014

• Interview with The Globe and Mail, 2014