Emma Bou Hanna
Machine Learning Research Intern at Owkin- Claim this Profile
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English Professional working proficiency
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German Limited working proficiency
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Italian Elementary proficiency
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Français Native or bilingual proficiency
Topline Score
Bio
Credentials
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TOEFL IBT Test - 108/120
The TOEFL® test
Experience
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Owkin
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United States
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Biotechnology Research
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200 - 300 Employee
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Machine Learning Research Intern
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Apr 2023 - Present
Predicting cellular transcriptomic response to genetic perturbations with generative ML models. Application to target discovery for cancer treatment. Predicting cellular transcriptomic response to genetic perturbations with generative ML models. Application to target discovery for cancer treatment.
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Withings
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France
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Wellness and Fitness Services
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200 - 300 Employee
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Data Science Intern
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Apr 2022 - Sep 2022
Premature atrial and ventricular contractions' detection based on output signals from the new ScanWatch (wearable device). Development of machine learning-based tools to detect and quantify these premature heartbeats. Premature atrial and ventricular contractions' detection based on output signals from the new ScanWatch (wearable device). Development of machine learning-based tools to detect and quantify these premature heartbeats.
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Weill Cornell Medicine
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United States
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Hospitals and Health Care
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700 & Above Employee
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Visiting Graduate Researcher
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Oct 2021 - Apr 2022
Data science related to single cell analysis (long read sequencing), spatial transcriptomics and cancer treatment (glioblastoma). - Analyzed spatial patterns in gliomas (brain tumors) and interactions between cancer cells, neurons and immune cells. - Found new data modality in ONT long read sequencing in single nucleus RNA sequencing. Data science related to single cell analysis (long read sequencing), spatial transcriptomics and cancer treatment (glioblastoma). - Analyzed spatial patterns in gliomas (brain tumors) and interactions between cancer cells, neurons and immune cells. - Found new data modality in ONT long read sequencing in single nucleus RNA sequencing.
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Harvard University
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United States
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Higher Education
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700 & Above Employee
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Visiting Research Intern
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Mar 2021 - Oct 2021
Advisor : Prof. Jia Liu Goal : Build a 3D brain atlas from resolved spatial transcriptomics. I designed a new method to achieve a better and more scalable (less time/memory consuming) cell segmentation, based on Graph Neural Networks. Manuscript in preparation. Advisor : Prof. Jia Liu Goal : Build a 3D brain atlas from resolved spatial transcriptomics. I designed a new method to achieve a better and more scalable (less time/memory consuming) cell segmentation, based on Graph Neural Networks. Manuscript in preparation.
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Lycée Hoche
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France
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Government Administration
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1 - 100 Employee
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Teaching Assistant in Physics for first year undergraduate students
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Sep 2019 - Jul 2020
Held weekly office hours, overview and tutor groups of first year undergraduate students as they complete Physics problems. The goal is to give them full preparation for the upcomming nationwide exams. Held weekly office hours, overview and tutor groups of first year undergraduate students as they complete Physics problems. The goal is to give them full preparation for the upcomming nationwide exams.
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Education
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2022 - 2023
École normale supérieure Paris-Saclay
Master MVA (Mathématiques, Vision, Apprentissage), Mathématiques appliquées -
2019 - 2023
Mines Paris
Etudiante Cycle Ingénieur Civil, Mathématiques appliquées -
2017 - 2019
Lycée Hoche
Classes Préparatoires aux Grandes Ecoles, Math and Physics
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