David Michael Miller

PhD Candidate, University College London
UCL Centre for Artificial Intelligence & Division of Biosciences
University College London
Gower Street, London WC1E 6BT, UK
david.miller.20@ucl.ac.uk

Education

Ph.D., Computational Biology
University College London, London, UK

Research focused on developing generative models for protein sequences and structures, as well as applying deep learning techniques for annotating proteins in the CATH database.

M.Sc., Health Data Science
University College London, London, UK
Pre-clinical Medicine
University of Pennsylvania, Philadelphia, PA, USA
B.A., Physics
Bowdoin College, Brunswick, ME, USA

Experience

Computational Biology Intern
VantAI, New York, NY

Developed a deep learning method to predict degradation motifs in protein sequences using protein language models.

Visiting Scientist
The Francis Crick Institute, London, UK

Worked on RNA Timestamps, a novel method to estimate the age of single molecule RNA from sequencing data.

Research Assistant
UCL Computational Medicine Lab, London, UK

Led projects in HERMES, a large-scale genomics consortium for discovering novel drug targets in Heart Failure.

Postgraduate Representative
MedTech UCL, London, UK

Chaired the UCL AI in Medicine conference, hosted speakers such as Eric Topol, Mihaela van der Schaar, and Manolis Kellis.

Publications

Publication list also available on Google Scholar

ContrasTED: Enhanced CATH Classification in The Encyclopedia of Domains via Contrastive Learning
D Miller, N Bordin, C Orengo

Under review

GOBeacon: An Ensemble Model for Protein Function Prediction Enhanced by Contrastive Learning
W Lin, D Miller, Z Gu, C Orengo

Under review

Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes
A Henry, X Mo, C Finan, MD Chaffin, D Speed, H Issa, S Denaxas, D Miller, et al.

Nature Genetics, 57, 815–828

Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy
SL Zheng, A Henry, D Cannie, M Lee, D Miller, KA McGurk, I Bond, X Xu, et al.

Nature Genetics, 1-13

RNA editing is a molecular clock in unmodified human cells
AE Ghareeb, J Bayne, AZ Wagen, AM Abdelhafid, D Miller, L Cubitt, et al.

bioRxiv, 2024.11.18.624170

CATH v4.4: major expansion of CATH by experimental and predicted structural data
VP Waman, N Bordin, A Lau, S Kandathil, J Wells, D Miller, S Velankar, et al.

Nucleic Acids Research, gkae1087

Risk of Pneumonitis and Outcomes After Mediastinal Proton Therapy for Relapsed/Refractory Lymphoma: A PTCOG and PCG Collaboration
YD Tseng, BS Hoppe, K Dedeckova, CG Patel, CE Hill-Kayser, DM Miller, et al.

International Journal of Radiation Oncology* Biology* Physics 109(1), 220-230

Final results of a phase I "RadVax" trial of hypofractionated radiation combined with pembrolizumab in patients with metastatic solid tumors
JN Lukens, R Mick, ACC Huang, N Han, M Farwell, TC Mitchell, D Miller, et al.

Journal of Clinical Oncology 39(15_suppl), 2576-2576

Bridging Radiation Therapy Prior to Commercial Chimeric Antigen Receptor T-Cell Therapy for relapsed/refractory aggressive B-cell lymphoma
CM Wright, MJ LaRiviere, JA Baron, C Uche, Y Xiao, WT Arscott, D Miller, et al.

International Journal of Radiation Oncology* Biology* Physics

Induction Radiation Prior to Commercial Chimeric Antigen Receptor T-Cell Therapy for Relapsed/Refractory Non-Hodgkin Lymphoma
MJ LaRiviere, CM Wright, WT Arscott, D Miller, E Weber, DJ Landsburg, et al.

International Journal of Radiation Oncology* Biology* Physics 105(1), S66

Tandem Induction Radiation and Chimeric Antigen Receptor T Cell Therapy in Patients with Relapsed or Refractory Non-Hodgkin Lymphoma
WT Arscott, D Miller, JA Jones, N Winchell, S Schuster, JP Plastaras

International Journal of Radiation Oncology* Biology* Physics 102(3), S122

Bi-Institutional Report on Consolidative Proton Therapy after Initial Chemotherapy for Mediastinal Diffuse Large B-Cell and Primary Mediastinal Large B-Cell Lymphomas
JP Plastaras, A Maity, S Flampouri, D Miller, NP Mendenhall, J Svoboda, et al.

International Journal of Radiation Oncology* Biology* Physics 102(3), e350

Rates of Toxicity and Outcomes After Mediastinal Proton Therapy For Relapsed/Refractory Lymphoma
YD Tseng, BS Hoppe, D Miller, A Maity, RH Nanda, NP Mendenhall, et al.

International Journal of Radiation Oncology* Biology* Physics 99(2), S62-S63

Teaching

Applied Computational Genomics
University College London, London, UK

Honours and Awards