Irina Rish

Researcher
DISC Type : Cs

Professor at Université de Montréal, Mila - Quebec AI Institute

Montreal, Quebec, Canada

Overview

Irina Rish is a Full Professor at the Université de Montréal and a core member of Mila, where she holds the Canada Excellence Research Chair in Autonomous AI. Her research focuses on brain-inspired AI, continual learning, and scaling foundation models. She holds a PhD from the University of California, Irvine and has been granted 64 patents.

Dr. Rish is passionate about the intersection of AI and neuroscience, aiming to improve machine learning algorithms by drawing inspiration from the human brain. In a hypothetical parallel universe, she imagines she might have pursued a career as a writer, reflecting a deep interest in communication and linguistics alongside her technical expertise.

She leads a U. S. Department of Energy project focused on developing scalable foundation models on the worlds most powerful supercomputers, Summit and Frontier.

Personality Overview

Self-Disciplined

Process Focused

Cost Conscious

They do not like taking risks at all and go for proven options in the end.  Being observant comes to them naturally. The only way to convince them is by showing them examples and ample proof.

Topics They Care About

Scaling Foundation Models
Her research and the CERC-AAI workshop series focus on understanding and predicting the behavior of large-scale AI models as they grow in size and complexity.
Brain-Inspired AI
A core theme of her work is leveraging principles from neuroscience to develop more adaptive, robust, and efficient AI systems, particularly in lifelong learning.
Autonomous AI
As the Canada Excellence Research Chair in Autonomous AI, she aims to develop robust, continually learning AI that can generalize and adapt like humans.

Media Appearances

Irina has no verified media appearances

Work History

10-2019
Professor at Université de Montréal, Mila - Quebec AI Institute
9-2019
Associate Professor at Université de Montréal and MILA (Montreal Institute for Learning Algorithms)
7-1999
Research Staff Member, AI Foundations Lab at IBM Research
Research Assistant at University of California, Irvine
Teaching Assistant at University of California, Irvine

Education

1992 - 1999
PhD from UC Irvine
1985 - 1991
MS from Gubkin Russian State University of Oil and Gas (National Research University)

More Information

Social Presence :

Prographics :

Exp : 26 Location : Montreal, Quebec, Canada Job Level : Junior Designation : Professor at Université de Montréal, Mila - Quebec AI Institute
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Insights For Selling To Irina

During A Call Or A Meeting

DO's

  • Share a one-off customer success story but keeps the focus on highlighting objective, numerical results
  • Preferably use email to follow up with them instead of phone or Linkedin, engage by asking question or opinions
  • Actively address their concerns around change, risk, and acceptance by users

DONT's

  • Don't ask them to move fast, let them take their time and digest all the information
  • Avoid emotional and informal language, stay objective and to the point instead
  • Avoid winging it with them particularly, answer a question only if you know the answer well

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Irina is

  • Low-risk, adoption by others are very important to them, followed by confidence in ROI.
  • Will you ever get a clear answer from Irina

  • Often, they don't say no, or keep going about it in circles.

Insights For Deal Planning

    How fast (or slow) will Irina move?

  • They do not like to rush and therefore can be quite slow in their decision-making.
  • Can Irina take some risk or not?

  • They have little risk-appetite and prefer to take measured decisions.

You And Irina

Personality Compatibility


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