Meet the Mila team from the University of Montreal, a French-language public research university in Montreal, Quebec, Canada.
Sarath P. - Team leader
Sarath is currently a PhD student under the supervision of Yoshua Bengio and Hugo Larochelle. His work mainly focuses on Deep Learning and Reinforcement Learning for complex NLP tasks like question answering and dialog systems. He also investigates scalable memory access mechanisms for memory network architectures. His research interests include Machine Learning, Natural Language Processing, Deep Learning, and Reinforcement Learning. Before joining the University of Montreal, he was a Research Scholar at IBM Research India for a year. In the past, he has worked on multilingual representation learning and transfer learning across multiple languages.
Second year PhD student at MILA. I have been working on extreme classification, attention models, and efficient loss functions. Applications include medical image segmentation, language models, question answering, satellite images, and taxi navigation data (first place at last year's Kaggle taxi competition).
I am currently pursuing my PhD at MILA. Before that, I was working as an Engineer for two years at Qualcomm in San Diego, designing and developing LTE Modem physical layer protocols for Qualcomm chipsets. I obtained my Master's at Purdue University in 2013 and Bachelor's in Electrical Engineering from Indian Institute of Technology, Madras (IIT-M) in 2011. I am mostly interested in improving deep learning techniques and applications. Previously, I worked on distributed training of neural nets and am currently working on generative dialog systems.
Jose is a graduate student at University of Montréal working on sequences generation using neural networks.
I’m a PhD student investigating the generative deep learning models and reinforcement learning methods for dialogue modelling and question answering. In particular, I have recently been working on sequence-to-sequence models, variational inference and natural language parsing. I am jointly supervised by Aaron Courville and Yoshua Bengio.
I have a Bachelor's and Master's in Computer Science. I have interned with Professor Yoshua Bengio for almost a year working on deep learning and its applications. I am currently perusing my PhD under Professor Chris Pal in MILA (lead by Professor Yoshua Bengio), my main area of research is dialogue systems, generative models and deep learning.
I am a PhD student at MILA. Earlier I was a Researcher at Xerox research center, India. I completed my Master's at IIT Delhi. My background is in software engineering but I am highly interested in deep learning and representation learning. I am a knowledge seeker with critical thinking and creative problem solving abilities. Currently I am improving my background in machine learning and related topics and my focus in research is deep learning.
I am a PhD student at the Montreal Institute of Learning Algorithms (MILA). I am supervised by Professor. Yoshua Bengio. I am currently interested in recurrent neural models, including theories, new structural designs and applications in natural language, speech and high-dimensional dynamical systems. I have had several publications in top conferences including NIPS, Interspeech and ECML-PKDD. I previously worked as a research intern at Microsoft Research Redmond and an algorithm engineer at Deepglint.
I graduated from VIT University, India with a Bachelor's in Computer Science in 2014. I then completed my Master's in Language Technologies from Carnegie Mellon University in 2016 and am currently a PhD student advised by Chris Pal and Yoshua Bengio. My areas of interest include solving structured prediction problems in NLP using Deep Learning and multimodal machine learning.
I'm currently a PhD student at MILA, supervised by Professor Yoshua Bengio. Previously, I was a computer vision researcher at Intel Korea and LG Electronics. I also studied machine learning during my Master's degree program at KAIST in Korea. My current research interests are in the areas of deep learning, especially generative models (NLP, image, video).
Studied pure mathematics in SCGY, USTC and then in Paris. Then I served as a research assistant of computer science in EPFL for 3 years, before I switched to deep learning with Prof. Yoshua Bengio.
I am a 3rd year PhD student in the Montreal Institute of Learning Algorithm. My research area covers deep learning and several of its applications, including binarized neural networks, natural language processing, and computer vision. I am jointly supervised by Yoshua Bengio and Roland Memisevic.
Yoshua Bengio - Faculty advisor
Yoshua Bengio is Full Professor of the Department of Computer Science and Operations Research, head of the Montreal Institute for Learning Algorithms (MILA), CIFAR Program co-director of the CIFAR Neural Computation and Adaptive Perception program, Canada Research Chair in Statistical Learning Algorithms. His main research ambition is to understand principles of learning that yield intelligence. He teaches a graduate course in Machine Learning (IFT6266) and supervises a large group of graduate students and post-docs. His research is widely cited (over 40,000 citations found by Google Scholar in mid-2016, with an H-index of 84).