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100% of your donation will go to funding free computational resources for our fellows.
100% of your donation will go to funding free computational resources for our fellows.
Support machine learning researchers in developing countries through your donation.
Support machine learning researchers in developing countries through your donation.
In this thriving era of Artificial Intelligence, there still lies inequality in access to research opportunities. Fatima Fellowship is one of the earliest non-profits dedicated to providing free research opportunities for machine learning and computer science students worldwide. By supporting us, you help aspiring PhD students and engineers in developing countries.
Our mentors and coordinators work on a volunteer basis. When donating, you are in control of where your gift goes; you can designate 100% of your gift either for computational support we offer to students or for marketing and organizational development to grow Fatima Fellowship. We are always doing outreach for more volunteer mentors in order to increase the amount of fellows we take in every year!
Your donation will have real life impact, from 2021 and 2022, 31% of fellows from Fatima Fellowship have gained admission into a PhD or Masters program. View the full list of fellow accomplishments here.
31.4% of fellows gained admission into a PhD or Masters program. 22.3% work as a Research Intern, 16.3% works as a Machine Learning Engineer, 14% work as a Software Engineer, 12% work as other, 2% work in faculty and 2% work as a Data Scientist.
Create real impact by supporting students' educational journeys.
Create real impact by supporting students' educational journeys.
Originally from Lebanon, Tarek Naous moved to the United States to do his PhD in Machine Learning at Georgia Institute of Technology.
Originally from Cameroon, Kuna Fomboh moved to the UK to do her MS in Artificial Intelligence at Queen Mary University of London.
Originally from India, Rohan Banerjee moved to Canada to do his MSc CS in Computer Mila & Polytechnique Montréal.
Originally from Bangladesh, Ohida Amin moved to the United States to do her PhD in Computer Science at Northeastern University.
Computational resources are difficult to afford in different currencies
Computational resources are difficult to afford in different currencies
Across many developing nations, students often encounter challenges in affording essential computational resources due to currency differences and high costs. For example, Tahsin Mayeesha, a 2022 fellow, noted that computational resources for her research project would have cost 25,000 Bangladeshi Taka for six months. The average monthly salary in Bangladesh is 26,000 Taka. The challenge of affording computational resources such as Google Collab Pro is widespread among students in these regions. At Fatima Fellowship, we cover these costs for all fellows.
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