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Thank you to all our attendees, speakers, and sponsors who made this event possible!

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Artificial

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Intelligence

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healthcare

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Conference

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Brought to you by

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When & Where
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Friday/10

Saturday/11

Sunday/12

MIXER
NIGHT

THE MAIN EVENT

WORKSHOPS

Join us for an evening of networking and discussion! Our founders Dr. Amira Aissiou and Dr. Shane Eaton will be opening the evening with a peek into the world of medicine and an intro to how AI can be used in the field. There will be food and plenty of opportunity to meet experts and learners in the fields of medicine and computing sciences.

This day features talks from experts in the field of artificial intelligence and healthcare, discussions, poster presentations, industry booths, and more! This is our main event, be sure not to miss it!

Let's talk shop! This day is geared towards learning some of the details of machine learning algorithms and how they can be used in medicine. Join us for interactive sessions and opportunities to collaborate with students and researchers from different fields.

1700h - 2000h

0830h - 1700h

0900h - 1600h

THE MATRIX HOTEL 
10640 100 Ave NW 
Edmonton AB T5J 3N8

Headquarters

10065 Jasper Ave #1101

Edmonton, AB T5J 3B1

Itinerary

Itinerary
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Speakers

Speakers
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Dr. Patrick Pilarski

Rehabilitation medicine

BLINC lab | AMII 

Dr. Patrick M. Pilarski is a Canada CIFAR Artificial Intelligence Chair, past Canada Research Chair in Machine Intelligence for Rehabilitation, and an Associate Professor in the Division of Physical Medicine and Rehabilitation, Department of Medicine, University of Alberta. In 2017, Dr. Pilarski co-founded DeepMind's Alberta office, where he continues as a team lead and Senior Staff Research Scientist. He is a Fellow and Vice Board Chair of the Alberta Machine Intelligence Institute (Amii), co-leads the Bionic Limbs for Improved Natural Control (BLINC) Laboratory, and is a principal investigator with the Reinforcement Learning and Artificial Intelligence Laboratory (RLAI) at the University of Alberta. As part of this research, Dr. Pilarski has developed and made prominent machine learning techniques for continual sensorimotor control and prediction learning on prosthetic devices. These include some of the first published approaches to ongoing user training of upper-limb prosthesis control systems via reinforcement learning, and he pioneered the use of general value functions in prediction learning to continually adapt myoelectric control interfaces in real time.

Key

note

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Dr.

Nidhi

HeGde

ML Privacy and Fairness

AMII

Dr. Nidhi Hegde is an Associate Professor in the Department of Computing Science at the University of Alberta and a Fellow and Canada CIFAR AI Chair at Amii.  Her current research is focused on fundamental problems in trustworthy and robust algorithms for Machine Learning.  Before joining the University of Alberta, she spent many years in industry research labs. Most recently, she was a Research team lead at Borealis AI (a research institute at Royal Bank of Canada), where her team worked on privacy-preserving methods for machine learning models and other applied problems for RBC. Prior to that, she spent many years in research labs in Europe working on a variety of interesting and impactful problems. She was a researcher at Bell Labs, Nokia, in France from January 2015 to March 2018, where she led a new team focussed on Maths and Algorithms for Machine Learning in Networks and Systems, in the Maths and Algorithms group of Bell Labs. She also spent a few years at the Technicolor Paris Research Lab working on social network analysis, smart grids, privacy, and recommendations.  

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Dr.

Eytan

Wine

Pediatric Gastroenterology 

Dr. Eytan Wine is a Professor of Pediatrics & Physiology, Clinician Scientist, & Pediatric Gastroenterologist at the University of Alberta. He completed a Peds GI at the Toronto Hospital for Sick Children and a PhD in Cellular Microbiology at the University of Toronto.

Dr. Wine’s clinical expertise is managing children with inflammatory bowel diseases (IBD) with specific interest in diet. This interest fits well with his laboratory research focus on involvement of intestinal bacteria and nutrition in development of intestinal inflammation, enabling translational bench-to-bedside research.

Dr. Wine is co-Chairs of the Canadian Children IBD Network (CIDsCaNN) and is on the Executive of the European Society for Pediatric Gastroenterology, Hepatology, and Nutrition (ESPGHAN) Porto IBD Group.

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Dr.

Nazila

Ameli

Dentistry

Dr. Nazila Ameli is a third year PhD student at the Faculty of Medicine and Dentistry, University of Alberta. Her research interests include medical/dental imaging, deep learning and machine learning. After getting her DDS and MS degrees in Orthodontics at Shahid Beheshti University, Iran she secured a full-time position as an Assistant Professor and a member of the Research Council at Semnan Dental School. Due to her research exploits which were accompanied by various publications, she was nominated as the Vice-Dean of Research with an immediate promotion to the position of Associate Professor. As a Ph.D. student at the University of Alberta under the supervision of Dr. Hollis Lai, her research projects incorporate the use of analytics to inform and improve dental education practices. We are using this novel field of applying data analytics techniques in Dentistry to address patient care in order to better understand dental procedures in relation to patients; information and the diagnosis of oral diseases. The results obtained from these projects may significantly inform and improve the use of data-enabled innovations and analytics in Dentistry, health profession education, and the healthcare system as a whole. ​

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Dr.

Peter

Campbell

Ophthalmology

Oregon Health & Science University

Dr. Peter Campbell is the Edwin and Josephine Knowles Professor of Ophthalmology at the Casey Eye Institute, Oregon Health & Science University. He has a clinical focus on adult and pediatric vitreoretinal surgery, and is a translational clinician scientist broadly focused on imaging in pediatric vitreoretinal disease. Specifically, he has been actively involved in two main research areas: the development of artificial intelligence (AI) algorithms in retinopathy of prematurity (ROP), and optical coherence tomography (OCT) for pediatric retina.  Dr. Campbell is the PI for the Imaging and Informatics in ROP (i-ROP) research consortium, previously led by Michael Chiang (now director of the National Eye Institute). He is also been a close collaborator with the Center for Ophthalmic Optics & Lasers [COOL Lab] headed by David Huang, MD at OHSU.  He was recently a member of the 3rd International Classification of Retinopathy of Prematurity Committee, and is the Chair of the American Academy of Ophthalmology Committee on Artificial Intelligence.

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Dr.

Yan

Yuan

Biostatistics & Public Health

University of Alberta

Dr. Yan Yuan is interested in developing and applying statistical learning methods in cancer related population health and biomedical research using data from observational studies. Methodologically, her research interests are statistical prediction and classification, and developing appropriate metrics for quantifying the prediction performance. Two ongoing applied health research projects are: 1) personalized risk prediction of late effects in childhood and adolescent & young adult cancer survivors based on treatment and genetic data; 2) brain tumour surveillance in Canada and developing artificial intelligence tools for improving cancer surveillance.