PhD student within the group of Dr. Sarah Teichmann at Sanger Institute / Cambridge University. Funded as a Marie Curie fellow through the ENLIGHT-TEN+ ITN to do research on the immune system.

Visiting graduate student at Harvard University in the Church lab. Development of a deep learning model of gene expression.

Creation of financial forecasting models covering IP portfolio, optimization of IP database, management of IP-related finances

Analysis of scRNA-seq data, RNA velocity analysis, software development and maintenance of Python package Velocyto

As part of the Therapy Development Team, improve the algorithms controlling the closed-loop neurostimulator to make them more robust and clinically relevant.

Support to regulatory product experts, manage and coordinate regulatory submissions of active substances produced, tested or packaged on site, organize health authority inspections.

The project goal was to identify common drug targets of malaria parasites Plasmodium Falciparum and Plasmodium Berghei using genome-scale metabolic models (GEMs). Constraint-based approaches like Flux Balance Analysis (FBA) and Thermodynamics-based Flux Analysis (TFA) were used to perform mass and energy balances on the GEMs of the parasites.The project was coded in Matlab and used the software suite COBRA to compute quantitative predictions of the cellular biochemical networks with… Show more The project goal was to identify common drug targets of malaria parasites Plasmodium Falciparum and Plasmodium Berghei using genome-scale metabolic models (GEMs). Constraint-based approaches like Flux Balance Analysis (FBA) and Thermodynamics-based Flux Analysis (TFA) were used to perform mass and energy balances on the GEMs of the parasites.The project was coded in Matlab and used the software suite COBRA to compute quantitative predictions of the cellular biochemical networks with constraint-based modelling. Show less

Representing EPFL at the biggest synthetic biology competition in the world.Our research focused on developing a toolbox to generate cell-free biosensors. These will enable low cost, in-the-field diagnosis of a wide range of biomolecules.Project was awarded a gold medal and won the prize for Best Education and Public Engagement.Project was also nominated in the following categories:- Best Diagnostics Project- Best Software- Best New Basic Part- Best… Show more Representing EPFL at the biggest synthetic biology competition in the world.Our research focused on developing a toolbox to generate cell-free biosensors. These will enable low cost, in-the-field diagnosis of a wide range of biomolecules.Project was awarded a gold medal and won the prize for Best Education and Public Engagement.Project was also nominated in the following categories:- Best Diagnostics Project- Best Software- Best New Basic Part- Best Integrated Human Practices Show less