Bio & CV

Here’s my CV

In October 2017 I joined the Toronto office of Uber Advanced Technology Group. I am a Director of Engineering, and lead a team that focuses on bringing from research and into production cutting-edge deep-learning models for self-driving vehicles.

In my previous role I oversaw all machine learning and software development efforts at Kindred, an AI & Robotics startup focusing on autonomous grasping for warehouse automation.

Prior to that, I was at Kobo‘s Big Data team, which I joined in 2013 as a senior research scientist working on content analysis and website optimization. In 2014 I became the VP of Big Data, leading the team in the development and productization of algorithms for recommendations, search optimization, data science and analytics, content analysis and website optimization among other things.

Before that, I was a member of technical staff at Altera (now Intel). I worked on optimization algorithms for FPGA packing and placement problems, as well as logic utilization estimation and reporting.

I obtained my Ph.D. in computer science at the University of Toronto, specializing in Machine Learning. I worked under the supervision of Professor Brendan Frey at the PSI lab. During my studies, I collaborated with the Boone Lab at the University of Toronto. I spent a term as a visitor of the CBL lab at the University of Cambridge, and interned with Microsoft Research. My first internship was with Search Labs where I worked on e-commerce search. My second internship was with the Machine Learning and Perception lab at MSR Cambridge, working on project Kinect.

I received my undergraduate degree in Computer Science and Computational Biology from the Hebrew University in Jerusalem. Back then I thought I’ll be a neuroscientist when I grew up, and during my studies, I spent a summer at the Weizmann Institute studying the rat’s visual cortex at Ilan Lampl’s lab, and studied octopuses (octopii?) motor control with Benny Hochner’s group . To this day, I remain a staunch octopus lover (not as food).

For my official bio & headshot please use the below:

Inmar Givoni is a Director of Engineering at Uber Advanced Technology Group, Toronto, where she leads a team whose mission is to bring from research and into production cutting-edge deep-learning models for self-driving vehicles. She received her PhD (Computer Science) in 2011 from the University of Toronto, specializing in machine learning, and was a visiting scholar at the University of Cambridge. She worked at Microsoft Research, Altera (now Intel), Kobo, and Kindred at roles ranging from research scientist to VP, Big Data, applying machine learning techniques to various problem domains and taking concepts from research to production systems. She is an inventor of several patents and has authored numerous top-tier academic publications in the areas of machine learning, computer vision, and computational biology. She is a regular speaker at AI events, and is particularly interested in outreach activities for young women, encouraging them to choose technical career paths. For her volunteering efforts, she has received the Arbor Award from UofT. She has been recognized as one of Canada’s 50 inspiring women in STEM (2018), one of Canada’s Tech Titans: Top 19 of 2019, and one of Forbes Magazine’s Women in AI to watch (2020). She was featured in Marie Claire, Toronto Life, The Globe and MailTWIML & AI podcast, ReWork’s list of 30 influential women in Canadian AI, UofT’s News, and other media venues.