The School of AI was founded with the mission of enabling anyone in the world access to an excellent Artificial Intelligence (AI) education for free. More recently however, applications for AI and Machine Learning (ML) have grown exponentially across a wide range of disciplines, and the need for relevant education and research opportunities has skyrocketed. This fact, combined with the increasingly popular trend of technology companies utilizing residency programs to identify and retain rising talent, forced us to recognize that School of AI had to expand beyond our original mission and start a fellowship program of our own.
Through the work of our tireless volunteers and a generous Cloud Credit donation from Google, this dream is now a reality. We’ve carefully selected ten applicants from around the world to round out our cohort for Spring 2019, and we couldn’t be more excited to work with such a diverse group of like-minded individuals who want to make a positive impact on the world using AI!
We believe Artificial Intelligence and Machine Learning have the ability to solve some of the world’s most pressing issues, and we’ve asked our first cohort to focus their research on areas that are most likely to bring value to the Sustainable Development Goals set by the United Nations General Assembly.
Over the course of the fellowship our recruits will work closely with a select group of Deans from School of AI to develop and implement research projects, evaluate the relevant results, and publish white papers on their findings. Our fellows are encouraged to share their ideas with their local School of AI communities and collaborate with peers to improve their research through diverse perspectives.
We are proud to introduce below the outstanding fellows making up our Spring 2019 cohort.
School of AI Spring 2019 Fellows
After completing my undergraduate degree in Computer Science and Engineering at the Indian Institute of Technology (IIT) Patna with a focus in Reinforcement Learning, I was an intern for the Operations Research Team at IBM Research India.
My research interest is in the field of Robotics and AI, specifically in using Reinforcement Learning Algorithms for modeling control and decision-making policies in robotics. I’d like to work towards creating agents that are more adaptable to noise and stochasticity in their surroundings.
I intend to focus my research in this Fellowship Program on One Shot Learning.
Abhinav Reddy Kaitha
I am currently pursuing a Master’s in Data Science at Indiana University Bloomington. I look forward to making contributions in the field of machine learning and bridging the gap between the AI community and the general population.
I intend to focus my research for this Fellowship Program on Unsupervised Learning.
I am a scientist, entrepreneur, and writer. I hold a graduate degree from Columbia University, and I have a background in Physics. My research interests include algorithmic financial trading, marketing, and quantum technology.
I intend to focus my research for this Fellowship Program on Quantum Machine Learning.
I am a Machine Learning Engineer and Researcher focusing mostly on vision-related tasks. I currently work on autonomous navigation of drones using neural networks, and I’m very interested in weaker forms of supervision for training large neural networks. In my free time I like to work on experimental problems at FOR.ai, and I hope to make some significant contributions to ML.
For this fellowship I’d like to improve self-supervised learning for embedded images with style transfer by training networks to learn shape- and texture-specific embedding for objects by randomizing shape and textures with style transfer.
I’m currently pursuing an undergraduate degree in statistics and mathematics while completing a Data Science boot camp at Galvanize – NYC. I’m also working on my Capstone Project for Galvanize, a sentiment analysis program where, using an LSTM model for time series prediction, I can analyze the effects of news reports and stocks under the S&P 500 in terms of sentiment or public opinion.
For this Fellowship Program, I’d like to expand on my Capstone research to develop an open-source software that can bring more clarity to investment decisions.
I’m currently studying Computer Science and Engineering as an undergraduate at Manipal University Jaipur. My dream is to see the fusion of Quantum Computing and AI to solve real world problems, and I hope I can contribute to such a technological revolution.
I intend to focus my research for this fellowship in Quantum Machine Learning.
I’m an AI researcher hailing from South Africa. I have a Master’s in Machine Learning from Cornell University, and a Master’s in Signal Processing from the University of the Witwatersrand. My research interests are in Bayesian Deep Learning and Probablistic Machine Learning, and how they can enable robust AI systems in critical applications such as healthcare.
I intend to focus my research for this fellowship on the application of AI, specifically deep learning, in sensitive spaces like healthcare and self-driving cars. My research will explore the safety of AI in uncertainty estimation in neural networks.
I’m a Machine Learning Engineer and part-time researcher in Computer Vision. My intended area of focus for this fellowship is One Shot Learning.
For over 14 years, I’ve worked in Visual Effects Studios in South Africa, London, and Wellington. I’m passionate about converging technologies, Computer Graphics, and Virtual Reality. I currently run a VR company in Wellington/New Zealand dedicated to connecting people.
I’m currently pursuing my Master’s in Data Informatics at the University of Southern California, Los Angeles. I aspire to work as a Data Scientist at a data-centric company, like Netflix or Amazon, that uses Machine Learning to enhance customer experience.
I intend to focus my research during this fellowship to explore using AI for social good, specifically mental health.
Each of our Fellows above has been paired with an advisor to support them through their research, and we could think of no one better to assist them than our own School of AI Head Deans. These Deans have each reached success by launching a School of AI chapter in their own respective cities. Not only that, but they hold regular meetups with our wizards around the world to Our Dean’s have volunteered to serve as a mentor to our Fellows as they pursue their projects. Below are our Head Deans who are assisting us this season:
Carlos is a Research Assistant and our Head Dean at West Virginia University. His research area is the future of work by exploring how AI tools can improve online work.
Mouaz al Hasini
Mouaz, our Head Dean in Amman, is a Communication and Electronics Engineer, and an Entrepreneur in Robotics and AI. Moaz is also a coach in Robotics, Founder and Director of a startup called Electrogami. He is also a student with MIT REACT program and an intern in Hikma as a business analyst.
Robin is our Head of Dean of School of AI ,Kerala and also an AI Engineer at Innovation Incubator Pvt Ltd. Robin has been working in the field of AI for the past couple of years, with an emphasis on Spoofing systems, Data Analysis, Recommendation Engine, Neural Networks , Document Analysis, Computer Vision and Chatbots. Robin is also one of the Bitgrit AI global Ambassadors.
Erfan is our Head Dean in Rasht and began his journey in Machine Learning three years ago. Since then, he has worked on a couple of research projects on Neural Architecture Search, Quantum-inspired Machine Learning, Quantum-inspired Optimization, and Transfer Optimization. Currently, he is working on developing new optimization techniques and meta-learning algorithms.
Vibhav, our Head Dean of Jabalpur School of AI, has worked in AI and Machine Learning for the past 5 years. However, in the last 2 years, his interest has shifted towards Quantum Computing. Now, his primary area of work is Quantum Machine Learning.
Steven Oladele is our Head Dean in Port Harcourtis. Steven is a Data Science consultant at SprintHub mobile and an AI enthusiast with an eye for generative models and Reinforcement Learning agents. He’s looking to apply Reinforcement Learning to solve material science problems and to help people succeed with technology.
Pravin, our Head Dean in Bhubaneswar, is a Machine Learning Engineer and a Researcher. He focuses on Computer vision related problems and has worked on a few ‘powerful’ frameworks. Have been focused on applications related to Healthcare and Biomedical research.
Arnav is a Machine Learning enthusiast, Software Developer, and a Full Stack Web Developer.
Beril is the Head Dean of the Netherlands where she organizes and broadcasts regular meet ups. She is an AI scientist and entrepreneur with over than ten years of experience. Her research and development expertise is developed on processing medical and remote sensing images. She has been supporting school of AI research fellows since the begining of 2019. Her website and detailed activities can be seen at http:\www.BerilSirmacek.com
Carson is our Head Dean in our San Francisco chapter. Caron is a self-taught programmer with a background in traditional art. Since 2016, he has been dedicated to learn as much as possible about machine learning, iterative systems, and emergence.
We look forward to the advancements each of our fellows and our advisors will make for The School of AI and the world. We hope you’ll apply for our next Fellowship program! Be sure to follow us on social media – we will announce our upcoming programs and application dates there.