![Featured image of "Borealis AI Graduate Fellowships – The Class of 2020" blog](https://www.borealisai.com/wp-content/uploads/2020/05/blog_fellowship_winners_2020_2.png)
Meet the ten recipients of this year’s fellowships.
![Image - anna_golubeva.png](https://www.borealisai.com/wp-content/uploads/2022/03/anna_golubeva.png__1875x1875_q85_subject_location-937,937_subsampling-2.png)
Anna Golubeva
School: Perimeter Institute for Theoretical Physics, University of Waterloo.
Research areas: Theoretical physics.
Research topic: Machine Learning for physics and physics for machine learning.
![Image - chenyang_huang.png](https://www.borealisai.com/wp-content/uploads/2022/03/chenyang_huang.png__1875x1875_q85_subject_location-937,937_subsampling-2.png)
Chenyang Huang
School: AMII, University of Alberta.
Research areas: Machine learning, deep learning and natural language processing.
Research topic: Towards empathetic conversational AI.
![Image - elahe_rahimian_najafabadi.png](https://www.borealisai.com/wp-content/uploads/2022/03/elahe_rahimian_najafabadi.png__1875x1875_q85_subject_location-937,937_subsampling-2.png)
Elahe Rahimian Najafabadi
School: Concordia Institute for Information System Engineering (CIISE), Concordia University, Montreal.
Research areas: Deep learning in health domain applications.
Research topic: Designing optimal deep neural networks for hand gesture recognition and force prediction, and developing domain adaptation algorithms for time-domain features.
![Image - guodong_zhang.png](https://www.borealisai.com/wp-content/uploads/2022/03/guodong_zhang.png__1875x1875_q85_subject_location-937,937_subsampling-2.png)
Guodong Zhang
School: University of Toronto.
Research areas: Machine learning.
Research topic: Interplay between optimization, generalization and uncertainty of deep learning.
![Image - ibtihel_amara.png](https://www.borealisai.com/wp-content/uploads/2022/03/ibtihel_amara.png__1875x1875_q85_subject_location-937,937_subsampling-2.png)
Ibtihel Amara
School: Centre for Intelligent Machines (CIM), McGill University.
Research areas: Computer vision and artificial intelligence.
Research topic: Towards building reliable deep neural network.
![Image - michael_skinnider.png](https://www.borealisai.com/wp-content/uploads/2022/03/michael_skinnider.png__1875x1875_q85_subject_location-937,937_subsampling-2.png)
Michael Skinnider
School: University of British Columbia.
Research areas: Deep learning, chemistry, natural language processing, artificial intelligence, generative models, mass spectrometry.
Research topic: Automated discovery of unknown molecules using deep neural networks.
![Image - reyhane_askari_hemmat.png](https://www.borealisai.com/wp-content/uploads/2022/03/reyhane_askari_hemmat.png__1875x1875_q85_subject_location-937,937_subsampling-2.png)
Reyhane Askari Hemmat
School: Mila, Université de Montréal.
Research areas: Optimization and deep learning.
Research topic: A dynamical systems perspective into game optimization.
![Image - sandeep_subramanian.png](https://www.borealisai.com/wp-content/uploads/2022/03/sandeep_subramanian.png__1875x1875_q85_subject_location-937,937_subsampling-2.png)
Sandeep Subramanian
School: Mila, Université de Montréal.
Research areas: Natural language processing and deep learning.
Research topic: Learning and modeling neural representations of text.
![Image - sedigheh_zolaktaf.png](https://www.borealisai.com/wp-content/uploads/2022/03/sedigheh_zolaktaf.png__1875x1875_q85_subject_location-937,937_subsampling-2.png)
Sedigheh Zolaktaf
School: Artificial Intelligence and Algorithms laboratories at the University of British Columbia.
Research areas: Stochastic processes – neural networks – DNA computing.
Research topic: Mean first passage time and parameter estimation for continous-time Markov Chains.
![Image - xiaohong_liu.png](https://www.borealisai.com/wp-content/uploads/2022/03/xiaohong_liu.png__1875x1875_q85_subject_location-937,937_subsampling-2.png)
Xiaohong Liu
School: McMaster University.
Research areas: Deep learning, watermarking, steganography, information-theoretical principles.
Research topic: New deep neural network architectures for blind image watermarking based on the information-theoretic principles.
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