MOMI2022: Organizing team

Bernard Tamba Sandouno, Ph.D student – DIANA team, Inria Sophia-Antipolis

Role: Communication with sponsors and budget plan

Bernard Samba Sandouno

I’m a 2nd year PhD student and I work on Spatial Signal strength estimation. My goal is to estimate the power signal received in a given location by taking into consideration the buildings around it. I aim to help end-users choosing the best (in terms of bandwidth) mobile operator depending on where they live.

Marielle Péré, Ph.D student – Biocore team, Inria Sophia-Antipolis, Inflammation and carcinogenesis team, IRCAN

Role: Registrations, administrative support, french website

Marielle Péré

I’m a 3rd year PhD student in Applied Mathematics since 2019 under the supervision of Madalena Chaves and Jérémie Roux . Together, we model a form of programmed cell death (apoptosis) triggered by anti-cancer drugs with deterministic systems and machine learning models, to understand  and predict fractional killing, a form of cellular persistance, and the associated cell sensitivity states, at the origin of many therapeutic failures in the fight against cancer.

Romain Tissot, Ph.D student – HEPHAISTOS team, Inria Sophia-Antipolis

Role: Event promotion (social media, graphic design)

Romain Tissot

I’m a 1st year PhD student and I work on cable driven parallel robots. My goal is to use AI to speed up forward and inverse kinematic computing but also to predict maintenance needs and design optimisation for medical application. I aim to make the robot the safest and the more accurate possible for mobility assistance and reeducation with quantified evaluation of the subject’s motor functions.


Huiyu Li, Ph.D student – Epione team , Inria Sophia-Antipolis

Role: Communication with Keynote Speakers and schedule designing

Huiyu Li

I’m a 1st year PhD student and I work on Machine Learning Methods for the Anonymization of Health Data. My goal is to develop AI methods for producing anonymized databases of health data from existing pseudonymized ones in particular for medical images. I aim to quantify the risks of individualization, correlation and inference in medical databases, as well as develop techniques to overcome those risks.

Nicolas Benjamin Ocampo, Ph.D student – Wimmics team , Inria Sophia-Antipolis

Role: English website administration, participation lists, and certificate demands

Nicolas Benjamin Ocampo

I’m a 1st year PhD student, and I work on Machine Learning methods to detect subtle abusive and hate speech-language in social media. Once we understand the latent causes to detect such content, the objective is to generate automatic counter-narratives that change the author’s opinion.

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