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Past Mentors

Here we highlight Past Mentors of WiML

“Serving as a WiML mentor is deeply rewarding; I enjoy helping emerging researchers find their voice, navigate challenges, and grow in confidence. The exchange of ideas is mutual and inspiring, reminding me that inclusion fuels creativity, scientific depth, and lasting impact in AI”

Sharmita Dey

Postdoctoral Researcher at ETH Zurich

"The most rewarding part of mentoring in Machine Learning is empowering emerging researchers, especially women, to excel in data-driven technologies. It fosters expertise, critical thinking, and continuous learning while challenging gender barriers. Seeing mentees grow into independent innovators tackling real-world problems and contributing to an inclusive, diverse AI research community is deeply fulfilling."

Love Allen Chijioke Ahakonye

Senior Researcher at Kumoh National Institute of Technology

“I enjoy the many rewarding aspects of mentoring, such as sharing knowledge, gaining new perspectives, building trust, and having the opportunity to "pay it forward" to those who helped me in the past.”

Sandhya Prabhakaran

Applied Research Scientist at Moffitt Cancer Center, Tampa, Florida

“The most beautiful part of this project was getting to know, listen, talk, and feel inspired by her way of inhabiting the world, of tracing pathways, and of continuing to build collective will, thinking, acting, and walking alongside Luciana Benotti."

Clarissa Guevara Gomez

Professor at Tec de Monterrey

"As a WiML mentor, I have been able to meet and learn from some amazing peers! My mentees have shaped my research vision, given me book recs, and have been a pleasure to get to know!"

Sidhika Balachandar

PhD Student at UC Berkeley

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