“When one teaches two learn” - Robert Heinlein.
We are excited to welcome our second cohort of global teaching fellows! Our teaching fellows span multiple countries and time zones, and are passionate about machine learning education.
2021 Global Teaching Fellows
Cynthia Thinwa is passionate about impactful research in marketing through data science and machine learning. She is fluent in Statistics, Python and R, having held roles in both marketing and AI, where she published research solving digital marketing problems for two Kenyan firms and built a customer segmentation tool leveraging machine learning.
She is currently a final-year MSc. Social Statistics student at the University of Nairobi in Kenya. Her latest research leverages math models (supervised machine learning) to understand the Kenyan marketplace, particularly the informal sector. She believes that impactful AI needs to involve local communities, be ethical and remain sustainable.
To reach more people, she has set up a website simplifying data, research and mathematical concepts called applysocialstats.com. She loves to unwind by listening to music, hiking, cycling and handcrafting.
She is looking forward to learning from and teaching the wonderful people in Delta‘s Teaching Fellowship.
Irem Ergun is a Ph.D. candidate at University of California, Riverside. She is broadly interested in fair, privacy preserving machine learning. Her current research project involves designing protocols for efficient, privacy-preserving federated learning algorithms. She completed her B.Sc. at Bilkent University in Ankara, Turkey, where she conducted research on breast cancer type classification using semi-supervised learning methods. She loves teaching and volunteering, and is always looking for volunteer teaching opportunities. She takes part in organizing non-profit research meetings and reading groups, which have participants from all over the world. She advocates for fairness in artificial intelligence, algorithm design, and for gender equality in tech in general. Her hobbies include playing the bass guitar and ukulele, singing, playing tennis, and yoga.
Simret is a final year undergraduate student at Addis Ababa Institute of Technology studying Software Engineering. She is passionate about technology accessibility and sustainability. She is an alumnus at the African Undergraduate Research Adventure where she was introduced and got hooked by XAI.
Gideon Onyewuenyi is a Machine Learning Engineer who is passionate about AI and how it can be used to improve lives. He is passionate about building communities and he is currently the lead for AI Saturdays Port Harcourt, a community where anyone can learn to code and build with AI. He is also a Student Ambassador for Microsoft and a Campus Expert for GitHub. One of his goals is to use data for social good and he is extremely happy to be a Global Teaching Fellow.
Vishakha is a third year undergraduate information science student at Dayananda Sagar College of Engineering (DSCE), India. She is interested in AI ethics, tech+policy, and software engineering. In her free time, she goes hiking, naps, and attends ML conferences. She will soon apply for PhD positions, so feel free to reach out to her about that or just to say hi <3 She is very excited to be a part of the teaching fellowship program this year, to learn from it and pay it forward.
Khalid Saifullah is a CS undergrad student from Dhaka, Bangladesh. He is extremely passionate about Deep Learning research. What excites him the most about it is its multi-cultural nature, one gets to work with a diverse group of people from so many different fields and learn a lot along the way. Rather than seeking answers to the "How" question, he is more interested in seeking answers to the "Why", since it leads you to the heart of the system.
He also wishes to work with other members of the community to ensure diversity, equity, and inclusion.
2020 Global Teaching Fellows
Aseda Addai-Deseh is a Data Scientist at Wave-2 Analytics Limited, based in Accra, Ghana. She holds a BSc. in Computer Science from the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. She is currently the lead for the PyLadies Ghana Data Science community where she mentors young women pursuing a career in Data Science. She is a member of the organizing team for the Ghana Data Science Summit (IndabaX Ghana). Aseda has a passion for teaching, and coming from a place where there is not much emphasis placed on hands-on teaching and learning, she wants to be an educational changemaker in her community by incorporating a significant amount of practical activities in her teaching.
Dina Machuve is a lecturer and researcher at the Nelson Mandela African Institution of Science and Technology (NM-AIST) in Arusha, Tanzania. Her research focuses on developing data-driven solutions in Agriculture. For her PhD dissertation, she investigated the information logistics of small and medium size food processors. Currently, she is looking at developing a poultry diseases diagnostics tool using deep learning for small and medium scale poultry farmers in Tanzania. She is an Early Career Fellow of the Organization for Women in Science for the Developing World (OWSD). She serves in the organizing committee of Data Science Africa (DSA), an organization that runs an annual data science and machine learning summer school and workshop in Africa. She is also a member of a research group on Mechanism Design for Social Good (MD4SG). She completed her PhD in Information and Communication Science and Engineering from NM-AIST in 2016. She also has an MS in Electrical Engineering and BSc in Electrical Engineering.
Gbemileke Onilude is a machine learning engineer who is passionate about using AI to better improve the quality of life in general. He believes in the power of communities and is an advocate for life long learning. His favourite topic in machine learning is computer vision because it relates to shaping the way computers see the world around them. His is skilled in Python, Keras, SQL, Reinforcement Learning, Probability and Statistics. His hobbies include playing video games and chess.
Chima Ibebunjoh is a data enthusiast with over 5 years of research and production experience creating sustainable solutions using data. He is a data scientist, a GIS expert and an Urban planner. Chima uses and advices on tools such as machine learning, web scraping, big data platforms, data visualization, GIS and remote sensing techniques and their application to relevant sustainable solutions issues especially location based.
Chima has an undergraduate degree in Urban and Regional Planning and a masters degree in Geographic Information Systems (GIS) from University of Ibadan, Nigeria. His research interests include artificial intelligence, big data analysis, statistical machine learning and data mining, process mining, computational social sciences and human-computer interaction.
Chima is a member of AbujaAI6, where data science and machine learning skills are being impacted on IT graduates. He also volunteers for Ghyrate, a data company that connects businesses to potential customers. He also invests significant efforts to volunteer for Artificial Intelligence communities in any city he finds himself.
His passion is to have a positive impact in his environment through data solutions research and to inspire others to pursue careers in STEM. Chima loves dogs and enjoys soft rock music.
Krish Sharma is a second year undergraduate student at Northeastern University in Boston, MA studying Computer and Data Science. In his free time, he is either working with Sandbox, Northeastern's student-led software consultancy, or touring Boston's food scene. Feel free to ask him for recommendations!
He is extremely excited to be part of Delta's Global Teaching Fellows program and cannot wait to both learn from and teach students.