About

I’m a PhD fellow at the Section of Health Data Science and AI at the University of Copenhagen. I am also affiliated with Statistics Denmark and the Department of Infectious Disease at Imperial College London.

My work lies at the intersection of data science and public health. My research interests involve tackling (hard) biological/healthcare problems with machine learning as well as developing robust, reproducible, and open software.

Before coming to Copenhagen, I was an engineering intern at Logitech at the AI department and I got my MSc at EPFL (Computational Neurociences).

Selected Projects (see all publications on Google Scholar)

• phylo2vec: a library for manipulating phylogenetic trees using an efficient vector representation
• NEWS-Light: a simplified physiological feature set to monitor acutely ill patients in emergency healthcare settings.
• dlc4ecoli: using deep learning-based track technologies to monitor E. coli infection in broiler chickens.
• phylaudio: examining language evolution through the lens of large speech models.

Publications

* indicates co-first author.

2025

1. Deep learning from videography as a tool for measuring E. coli infection in poultry

   Neil Scheidwasser*, Louise Ladefoged Poulsen*, Prince Ravi Leow, Mark P. Khurana, Maider Iglesias-Carrasco, Daniel Joseph Laydon, Christl Ann Donnelly, Anders Miki Bojesen, Samir Bhatt, David A. Duchêne

   Royal Society Open Science

2. phylo2vec: a library for vector-based phylogenetic tree manipulation

   Neil Scheidwasser*, Ayush Nag*, Matthew J. Penn, Anthony Jakob, Frederik Mølkjær Andersen, Mark Poulsen Khurana, Landung Setiawan, David A. Duchêne, Samir Bhatt

   Journal of Open Science Software

3. Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis

   Helen Coupland, Neil Scheidwasser, Alexandros Katsiferis, Megan Davies, Seth Flaxman, Naja Hulvej Rod, Swapnil Mishra, Samir Bhatt & H. Juliette T. Unwin

   BMC Public Health

4. Artificial intelligence for modelling infectious disease epidemics

   Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Y. Chang, Spyros Lytras, Mark P. Khurana, Samantha Vanderslott, Sumali Bajaj, Neil Scheidwasser, Jacob Liam Curran-Sebastian, Elizaveta Semenova, Mengyan Zhang, H. Juliette T. Unwin, Oliver J. Watson, Cathal Mills, Abhishek Dasgupta, Luca Ferretti, Samuel V. Scarpino, Etien Koua, Oliver Morgan, Houriiyah Tegally, Ulrich Paquet, Loukas Moutsianas, Christophe Fraser, Neil M. Ferguson, …, & Samir Bhatt

   Nature

2024

1. High-resolution epidemiological landscape from ~290,000 SARS-CoV-2 genomes from Denmark

   Mark P. Khurana*, Jacob Curran-Sebastian*, Neil Scheidwasser*, Christian Morgenstern, Morten Rasmussen, Jannik Fonager, Marc Stegger, Man-Hung Eric Tang, Jonas L. Juul, Leandro Andrés Escobar-Herrera, Frederik Trier Møller, The Danish COVID-19 Genome Consortium (DCGC), Mads Albertsen, Moritz U. G. Kraemer, Louis du Plessis, Pikka Jokelainen, Sune Lehmann, Tyra G. Krause, Henrik Ullum, David A. Duchêne, Laust H. Mortensen & Samir Bhatt

   Nature Communications

2. Phylo2Vec: a vector representation for binary trees

   Matthew J Penn*, Neil Scheidwasser*, Mark P Khurana, David A Duchêne, Christl A Donnelly, Samir Bhatt

   Systematic Biology

3. Bayesian inference of phylogenetic distances: revisiting the eigenvalue approach

   Matthew J. Penn, Neil Scheidwasser, Christl A. Donnelly, David A. Duchêne & Samir Bhatt

   Bulletin of Mathematical Biology

4. The limits of the constant-rate birth–death prior for phylogenetic tree topology inference

   Mark P Khurana, Neil Scheidwasser, Matthew J Penn, Samir Bhatt, David A Duchêne

   Systematic Biology

2023

1. Leaping through Tree Space: Continuous Phylogenetic Inference for Rooted and Unrooted Trees

   Matthew J Penn*, Neil Scheidwasser*, Joseph Penn, Christl A Donnelly, David A Duchêne, Samir Bhatt

   Genome Biology and Evolution

2. Speaker Embeddings as Individuality Proxy for Voice Stress Detection

   Zihan Wu, Neil Scheidwasser, Karl El Hajal, Milos Cernak

   Interspeech

3. Efficient speech quality assessment using self-supervised framewise embeddings

   Karl El Hajal, Zihan Wu, Neil Scheidwasser, Gasser Elbanna, Milos Cernak

   ICASSP

4. Byol-s: Learning self-supervised speech representations by bootstrapping

   Gasser Elbanna, Neil Scheidwasser, Mikolaj Kegler, Pierre Beckmann, Karl El Hajal, Milos Cernak

   HEAR: Holistic Evaluation of Audio Representations (NeurIPS 2021 Competition)

2022

1. SERAB: A multi-lingual benchmark for speech emotion recognition

   Neil Scheidwasser, Mikolaj Kegler, Pierre Beckmann, Milos Cernak

   ICASSP

2. Hybrid handcrafted and learnable audio representation for analysis of speech under cognitive and physical load

   Gasser Elbanna, Alice Biryukov, Neil Scheidwasser, Lara Orlandic, Pablo Mainar, Mikolaj Kegler, Pierre Beckmann, Milos Cernak

   Interspeech

2021

1. Commentary: The Risky Closed Economy: A Holistic, Longitudinal Approach to Studying Fear and Anxiety in Rodents

   Neil Scheidwasser, Melissa Faggella, Elizaveta Kozlova, Carmen Sandi

   Frontiers in Behavioral Neuroscience

Preprints

1. Complex models, marginal benefits–a multi-centre development and validation study of early warning scores across 2·16 million patient admissions addressing intercurrent medical interventions

   Alexandros Katsiferis, Neil Scheidwasser, Tri-Long Nguyen, Theis Lange, Mark P Khurana, Pernille B Nielsen, Kasper Karmark Iversen, Christian S Meyhoff, Eske Kvanner Aasvang, Jesper Mølgaard, Adrian G Zucco, Tibor V Varga, Samir Bhatt

2. Estimating the worst-case scenario for malaria parasite rate in sub-Saharan Africa

   Kaustubh Chakradeo, Alexandros Katsiferis, Neil Scheidwasser, Iwona Hawryluk, Katherine E Battle, Swapnil Mishra, David L Smith, Seth Flaxman, David Duchene, Samir Bhatt

3. Large-scale genomic surveillance reveals immunosuppression drives mutation dynamics in persistent SARS-CoV-2 infections

   Mark P. Khurana, Alexandros Katsiferis, Neil Scheidwasser, Mathilde Marie Brünnich Sloth, Jacob Curran-Sebastian, Christian Morgenstern, Man-Hung Eric Tang, Jannik Fonager, Morten Rasmussen, Marc Stegger, Charles Whittaker, The Danish COVID-19 Genome Consortium (DCGC), Sune Lehmann, Laust H. Mortensen, Pikka Jokelainen, Moritz U G Kraemer, Neil M Ferguson, Mahan Ghafari, Tyra G. Krause, David A. Duchêne, Samir Bhatt

4. Generalised Bayesian distance-based phylogenetics for the genomics era

   Matthew J. Penn, Neil Scheidwasser, Mark P. Khurana, Christl A. Donnelly, David A. Duchêne, Samir Bhatt

Resume

Download CV (PDF)

Contact

• Email: neil.clow at sund.ku.dk
• GitHub: Neclow
• LinkedIn
• Google Scholar

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GitHub