Inmar Givoni

I am an autonomy engineering manager at Uber ATG Toronto. We’re building self-driving vehicles using cutting-edge deep-learning models. In addition, I fairly regularly give presentations about machine learning, algorithms, big data, and their applications to high-school kids, university students, researchers, and non-technical audiences.  I also participate in various career panels and career mentoring events.  You are welcome to contact me if you are interested in something like that. As a technical woman, I’m particularly interested in outreach activities for young women, encouraging them to choose technical career paths.

Upcoming Presentations:

April 23, 2018 – Panel – AI – The Future or Now – Toronto

June 12, 2018 – Presentation – AI Toronto – Toronto

Past Events

Media Coverage, Videos & Podcasts

2018 Teaching Cars to See – DataTalk Podcast

2018 Ethical AI Panel Discussion – Girl Geeks Toronto (video)

2018 Post PhD UofT study

2018 TWiML&AI Podcast

2017 Some quotes in a MaRS AI special edition

2017 StartUp Here Toronto – Women Redfining AI piece (some quotes)

2017 Arbor Award Coverage

2017 Design+AI event blogpost

2017 Elevate Toronto AI Track coverage (brief mention of my talk among many other things)

2017 Canadian Tech @ Scale talk (video)

2017 The New Stack podcast @ SXSW (audio, video)

2017 Salon Article on AI theme @ SXSW 2017 (brief mention of my talk among many other things)

2016 Big Data Conference –  Data Heroes (interview)

2016 Canadian Women in Science & Engineering 2016 Women in Computing (interview)

2016 The Impact Podcast (audio) – Machine Learning

2016 Mobilysyrup – Big Data Conference Coverage

2016 Betakit – Tech@Scale Innovation Panel Coverage 

2016 Boost Agents Post (profile) – ‘Inside The Industry’

2016 TV Interview – Business News Network (video) – Big Data and Kobo

2015 UofT Engineering Computer Fundamentals Plenary Talk (video) – Machine Learning and Big Data

2014 Rakuten Technology Conference Presentation (video) – Big Data at Kobo

Other Stuff:

Some wonderful and indispensable sets of notes by Sam Roweis, whom we all miss.

Matrix Identities
Gaussian Identities
Short Probability Review
Linear Algebra Review

Contact Info:

For code, and other things. e-mail: inmar [dot] givoni [at] utoronto [dot] ca
You can also find me on linkedin and here is my Google Scholar page.