Current: Master of Management Analytics, University of Toronto Rotman School of Management
Undergraduate: B.Eng in Electrical Engineering, Dalhousie University/span>

What are your current interests or areas of interest in AI? My current interests in AI lie in the digital health sphere, particularly AI-enabled wearables in hospital settings. Another area I am investigating is using Electronic Health Records (EHR) to predict patient flow. Currently, I’m working on developing Machine Learning algorithms to predict inpatient flow in hospital settings.

Current: QMASc in Electrical and Computer Engineering, Queen’s University
Previous: B.Tech in Electronics & Telecommunications,Kalinga IIT, India

How has the Vector Scholarship in AI impacted you? The Vector Scholarship has changed my life, and has significantly impacted my career by funding my studies and research. It has also allowed me to grow my network with access to hiring events, AI summits, and job openings through the Vector Digital Talent Hub.

Current: Master of Management in Artificial Intelligence, York University
Former: BSc in Computer Science, Effat University

How has the Vector Scholarship in AI impacted your studies? Your research? Your AI network? The Vector Scholarship has been a great asset to me as I am an international student in Canada and it has definitely broadened my areas of AI network. My goal is to work as a data scientist at an esteemed organization after I complete my master’s degree. I believe that this course and the field of AI will open several opportunities for me.

Current: MASc in Aerospace Studies, University of Toronto
Undergraduate: University of Alberta, BSc in Electrical Engineering ‘21

What are your plans for your master’s degree? My main research is going to be on unmanned aerial vehicles at the center of sensor fusion, deep learning, and computer vision. In GPS-denied environments, visual navigation is important but there are a lot of challenges such as lighting, time of day, and poor weather. I plan on exploring how we can use thermal images with visual-spectrum algorithms using deep learning to navigate under any lighting conditions.

Current: MSc in Computer Science, Brock University
Former: BSc in Computer Science, Minor in Philosophy, Brock University

What’s next for you? I’m currently collaborating with the National Research Council (NRC) on AI for drug and material design. The lab focuses on many areas, from developing new medications to new materials for airplanes. I’ve contributed to work with NRC on computing energy levels for molecules and using variational quantum Eigensolvers, and am working on some papers on AI for drug design.

Current: Senior Applied Research, PointClickCare
Alumni of York University, MSc in Computer Science (AI)

What are you working on now: In my role, we use a lot of data from nursing homes and long-term care facilities and apply machine learning to deploy models to enable healthcare professionals to make better decisions. We’re focused on explainability because our customers want to know the “why” of certain decisions; we work closely with them to provide these insights.

University of Toronto, MSc in Computer Science
Previous Degrees: BSc in Computer Science and Cognitive Science, University of Toronto

What are you working on now: I am working in the interdisciplinary Computational Social Science Lab to understand the impact of machine learning systems of online platforms on user behaviour. If the impacts of these algorithms are negative, how can we build better ones that have high accuracy but also positively impact wellbeing? I hope to be part of the movement towards creating more user-centric systems that account for human trust and wellbeing, while avoiding bias.

Queen’s University, MSc in Computer Science (AI)
Previous Degrees: Bachelor of Computer Science in Biomedical Computing, Queen’s University

What are you most excited about working on? I first started on mass spectrometry analysis for detecting breast cancer while working on my undergraduate thesis- I fell in love with this project and it got me excited about pursuing a master’s degree. My current research applies machine learning to high dimensional data, and has the potential to answer important questions such as “what is the metabolic profile of cancer?” By looking at hundreds of pixels, it can lead to medical breakthroughs. I am so excited to be at the leading edge of this research, where I get to intersect with all types of experts, including chemists, pathologists, surgeons and computer scientists. Learn more about me here.

University of Ottawa, MSc in Computer Science (Applied AI Concentration)
Previous Degrees: BSc in Computer Science and Technology, Jiangsu University

What are your interests in AI? Since childhood, I have always been interested in computers. I came across AI during my undergraduate degree and realized its importance in its ability to interpret and handle the huge amount of data we generate in our everyday lives. Recently, I started working on a cybersecurity project aimed at detecting phishing applications in website domain names. During the COVID-19 pandemic, there have been a lot of new domains being created every day including malicious and phishing ones. Therefore, I am helping develop a classifier that shows whether a given domain name is either legitimate or malicious.

University of Toronto (Rotman), Master of Management Analytics
Previous Degrees: BSc in Chemical Biology, McMaster University

Opportunities for entrepreneurship in AI:With my degree in chemistry and my past research experience working in drug development in healthcare, I have been working with a start-up called neuroLytixs, which uses machine learning to aid biomarker discovery for the diagnosis of concussions. The company has just raised seed funding through angel investors, partnered with the Ontario Centres of Excellence, and is part of Techstars AI 2020 in Montreal. During my MMA program at Rotman, I want to learn more about shaping decision-making and strategy at the intersection of healthcare and AI, exploring pathways where I can have a positive impact on patients.

University of Guelph, MASc in Engineering (Collaborative Specialization in AI)
Previous Degrees: BSc in Computer Science and Biology, University of Toronto

Interesting AI projects I am a part of: I am exploring different interdisciplinary collaborations, including one with the Centre for Biodiversity Genomics which involves error correction in DNA barcoding and classification of sequences using AI. Our work will use a predictive modelling approach to shed light on species interactions when novel stimuli are introduced into an environment. Additionally, I am working on a project that focuses on information flow in social networks. I am also collaborating with the Public Health Agency of Canada to predict the severity of COVID-19 cases by investigating associations with clinical symptoms and comorbidities.

York University (Schulich), Master of Management in Artificial Intelligence
Previous Degrees: Master’s in Industrial and System Engineering, Pontificia Universidade Catolica do Paraná; Master of Business Administration, Fundação Getulio Vargas; B.Eng in Mechanical Engineering, Universidade Federal do Paraná

What do I bring to the AI industry? I have pretty unique experience as a mechanical engineer, working in both construction and for one of the biggest oil companies in Brazil, managing teams of more than 200 people. I also had the opportunity to work with Renault on quality control and AI systems, presenting to the headquarters, who eventually decided to implement my inspection system for all the teams in France and a number of other factories. With both my management and product development program, I hope to transition to consulting, where I will help analyze and implement AI solutions quickly.

University of Toronto, Master of Health Informatics
Previous Degrees: BHSc in Health Science & BScN in Nursing, Western University

What am I passionate about? As a clinician from the MHI program, I am uniquely positioned to identify the gaps in the healthcare system faced in my everyday work, and help implement AI technologies to bridge these gaps with other clinicians and technical teams. Prior to the MHI, some processes may have frustrated me, but now I view these as opportunities for improvement to use technology to make things easier for patients and healthcare providers. I look forward to these new advancements in healthcare, while ensuring we consider issues such as privacy and governance.

As of October 2020 , I am a Clinical Application Analyst and Registered Nurse with the University Health Network.

Queen’s University (Smith), Master of Management in Artificial Intelligence
Previous Degrees: Doctor of Medicine (University of Calgary); Master of Public Health (Queen’s University)

What’s next? As a physician, I’m lucky to work with colleagues and patients who continue to strive for better outcomes. We are working on NLP and Image Detection solutions currently to solve health system demand problems on a global scale. In the future, I hope to continue to combine my experience in healthcare and AI to work with like-minded people to solve problems and develop great solutions.

I am currently a 2020 Member for the Governor General’s Canadian Leaders and a Physician at Humber River Hospital in Toronto.

University of Waterloo, MASc in Systems Design Engineering
Previous Degree: BASc in Electrical, Electronics and Communications Engineering (Amirkabir University of Technology, Tehran Polytechnic)

What are you working on now? I’m currently working on a project to analyze histopathology images by applying U-Net, a convolutional neural network for biomedical applications, to segment tissue and remove background information. We will also compare this tool against other image processing tools as well to find out which method is more accurate or faster. So far, no one has used U-net for segmenting tissue. This application will have implications for cancer detection in the future, which is so inspirational and I am excited about.

University of Ottawa, MSc in Computer Science, Applied AI Concentration
Previous Degree: BSc, Computer Science (Alexandru Ioan Cuza University of Iasi)

How my research will have an impact: My thesis will be focused on the explainability of NLP algorithms. We have to keep an eye on the applicability of research in industry and work to eliminate the gap between pure research and specific applications. My thesis has the potential to touch so many industry applications including the medical domain, when AI agents are supporting the decision making process for specialists and doctors.

University of Toronto, MSc, Computer Science
Previous Degree: BSc, Computer Science (Peking University)

What are you working on now? In 2019, I was published in three different conferences: CVPR on interactive object segmentation, ICLR on analyzing representations in language modelling and NeurIPS on differentiable rendering and trying to learn 3D shapes from 2D images. My goal is to get into all the computer vision conferences, including ECCV and ICCV in the next year. I also work part-time as an intern at NVIDIA, where I get to learn more about graphics, 3D and AI in that domain.

As of 2020 , I am a PhD candidate at the University of Toronto with Vector Faculty Member and Co-Founder, Sanja Fidler.

University of Waterloo, MASc, Systems Design Engineering
Previous Degree: B.Eng, Biomedical Engineering (University of Guelph)

How my research will have an impact: My research interests lie in the social impact of artificial intelligence with projects on auditing training datasets for representational bias, benchmark datasets for evaluation bias and on fairness and privacy implications of face recognition.

As of August 2020 , I am a Machine Learning Engineer at Apple.