DDSA PhD Fellows 2022

Meet the first 10 DDSA PhD Fellows and watch them explain their research projects in the videos below! 

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Amalie Brogaard Pauli

Aarhus University

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Research Project

Computational Rhetorical Analysis:
Transfer Learning Methods for Detecting Persuasion in Text

Amalie holds an MSc in Operational Research with Data Science

 

↪ Read more about the project here

Emilie Wedenborg

Technical University of Denmark

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Research 
Project

Discovering Polytopes in High Dimensional, Heterogeneous Datasets using Bayesian Archetypal Analysis

Emilie holds an MSc in Mathematical Modelling and Computing

↪ Read more about the project here

Fabian Martin Mager

Technical University of Denmark

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Research 
Project

Using Transformer Models to Investigate Brain Structure, Neurodevelopment and Cognition

Fabian holds an MSc in Biomedical Engineering

↪ Read more about the project here

Gala Humblot-Renaux

Aalborg University

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Research 
Project

“Are you sure?” Towards Trustworthy Computer Vision with Deep Multimodal Uncertainty Estimation

Gala holds an MSc in Robotics

↪ Read more about the project here

Ida Burchardt Egendal

Aarhus University

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Research 
Project

Mutational Signatures Using Neural Networks for Robust Stratification of Cancer Patients

Ida holds an MSc in Statistics

↪ Read more about the project here

Matteo Arnaudi

Technical University of Denmark

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Research 
Project

Classification of Variants of Unknown Significance (VUS) Predisposing to Cancer

Matteo holds an MSc in Industrial Biotechnology

↪ Read more about the project here

Paul Jeha

Technical University of Denmark

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Research 
Project

Itô’s Formula as a Learnable Bridge Between Two SDEs

Paul holds an MSc in MTE/Computer Science

↪ Read more about the project here

Peter Laszlo Juhasz

Aarhus University

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Research 
Project

Topological Data Analysis Based Models of Evolving Higher-Order Networks

Peter holds an MSc in Physics 

↪ Read more about the project here

Rasmus Christensen

Aalborg University

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Research 
Project

Computational Design of Disordered Electrode Materials for Batteries

Rasmus holds an MSc in Chemistry

↪ Read more about the project here

Richard Michael

University of Copenhagen

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Research 
Project

Principled Bayesian Optimization and scientific ML for Protein Engineering

Richard holds an MSc in Bioinformatics

↪ Read more about the project here