About Me

"Wir mussen wissen. Wir werden wissen."(We must know. We will know.) David Hilbert

I am a PhD student at Mila-Quebec AI Institute and Université Laval (IID/LSVN lab). I work in the area of Adversarial Machine Learning under the supervision of Prof. Christian Gagné(Mila & Université Laval) and co-supervised by Prof. Frédéric Precioso(INRIA & Université Côte d’Azur). I was previously a Google AI resident at the Accra Lab where I was mentored by Yann Dauphin.

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Education


- Doctor of Philosophy in Computer Science (In progress)

Mila and University Laval

- African Masters in Machine Intelligence (2018/2019)

AIMS-Rwanda, Funded by Google and Facebook.

- Msc. in Mathematical Sciences (2016/2017)

AIMS-Cameroon.

- Computer Engineering (2011/2016)

Ecole Polytechnique Yaoundé

Projects/Papers

Robustness to Common Corruptions(AI residency)

Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets

with Marianne Abemgnigni, Jonathan Heek and Yann Dauphin.

Distributed Gaussian Processes (Master's thesis)

Scalable Inference with Distributed Gaussian Processes using the Wasserstein Barycenter.

with Marc Peter Deisenroth

k-Clustering Problem (Master's Thesis)

k-Clustering Problem-Application to a Field Technician Allocation Optimization Problem.

with Zacko Edinio, Nathalie Wandji and Michael Ndjinga

Review of Access Rights (Master's Thesis)

Setting up a System for Reviewing Access Rights to the Information System- Bolloré Africa Logistics Study Case.

with Cedric Nguemguing, Serge Feumatio, Claude Essomba, Sandrine Wami Wapet, Lauraine Tioning and Christian Fotsing.

Nolan Bushnell, Entrepreneur.

“The critical ingredient is getting off your butt and doing something. It’s as simple as that. A lot of people have ideas, but there are few who decide to do something about them now. Not tomorrow. Not next week. But today. The true entrepreneur is a doer, not a dreamer.”

Contact

Address Info

Quebec City, Canada

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