Experience

 
 
 
 
 

Course Instructor

University of Toronto

Jan 2023 – Present Toronto
Taught the crosslisted (undergrad + graduate) “Probablistic Methods of Machine Learning” course in the Computer Science department https://michalmalyska.github.io/csc412
 
 
 
 
 

Course Instructor

University of Toronto

Jan 2022 – May 2022 Toronto
Taught the crosslisted (undergrad + graduate) “Statistical methods for Machine Learning II” course to a class of 200, alongside David Duvenaud. Particularly proud of some cool Attention exam questions, and the intro to NLP lecture. https://duvenaud.github.io/sta414/
 
 
 
 
 

Machine Learning Team Lead

Semantic Health

Jan 2021 – Nov 2022 Toronto
 
 
 
 
 

Course Instructor

University of Toronto

May 2020 – Jul 2020 Toronto
STA220 - Introduction to Statistics for Life Sciences
 
 
 
 
 

Research Visitor

St Michael’s Hospital

Jan 2020 – Dec 2020 Toronto
Research into automatic severity classification of Multiple Sclerosis from patient encounter notes
 
 
 
 
 

Machine Learning Scientist

Semantic Health

Dec 2019 – Dec 2020 Toronto
 
 
 
 
 

Researcher

RiskLab

Sep 2018 – Dec 2019 Toronto
Applied ML lab for Finance
 
 
 
 
 

Teaching Assistant

University of Toronto

Sep 2018 – Jan 2021 Toronto

Courses:

  • STA130 - Winter 2020
  • STA314 - Fall 2019
  • STA130 - Fall 2019
  • STA220 - Summer 2019
  • STA303 - Winter 2019
  • STA314 - Fall 2018
 
 
 
 
 

Analyst - Actuarial, Rewards & Analytics

Deloitte Canada

Jan 2018 – Sep 2018 Toronto
Worked as an actuarial consultant with a focus on insurance analytics
 
 
 
 
 

Actuarial Analyst

Intact Financial

May 2017 – Sep 2017 Toronto
Worked as an actuarial analyst on a pricing team

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