About

I am a Schmidt Science Fellow in the labs of Profs Emma Lundberg and Wah Chiu at Stanford University. In my research, I am integrating cellular imaging techniques across resolutions to study and model dynamic cellular processes. Prior to my postdoc, I completed my PhD at the University of Oxford, where I developed machine learning models for therapeutic antibody optimization and design. The ultimate aim of my research is to design better therapeutics at reduced timescales and costs.



Research & Education

Schmidt Science Fellows and Stanford University logo

2024-2025

Schmidt Science Fellow

Stanford University

Multi-scale imaging and modeling of dynamic cellular processes

Advisors: Emma Lundberg and Wah Chiu

Stanford University logo

2024-2025

Postdoctoral Scholar

Stanford School of Medicine Dean's Fellow (2025)

Stanford University

Machine learning-powered design of RNA tags for in situ cellular imaging

Advisor: Rhiju Das


University of Oxford logo

2020-2024

DPhil in Statistics

University of Oxford

Machine learning for antibody design

Advisor: Charlotte Deane


Harvard Medical School logo

2023

Visiting PhD Student

Harvard Medical School

Machine learning for antibody design

Advisor: Debbie Marks


University of Cambridge and LMB logo

2019-2020

MPhil in Molecular Biology

MRC Laboratory of Molecular Biology, University of Cambridge, UK

Integrative computational analysis of GPCR-RAMP interactions

Advisor: M Madan Babu


University of Oxford logo

2015-2019

MBiochem in Biochemistry

University of Oxford, UK

Awarded first class degree (class rank 5/75)

Advisor (4th Year Project): Phill Stansfeld

Research & Publications

Primary research interests:

  • In situ cellular & molecular imaging
  • Protein localization
  • Cell modeling
  • Structure-based molecular design
  • Machine learning
Antibody sequence to bits to structure
  1. Hummer, A.M.†, Schneider, C., Chinery, L. and Deane, C.M.† Investigating the volume and diversity of data needed for generalizable antibody-antigen ∆∆G prediction. Nature Computational Science (2025).

     Featured on the cover of the August 2025 issue!

  2. Høie, M.H.*, Hummer, A.M.*, Olsen, T.H, Aguilar-Sanjuan, B., Nielsen, M. and Deane, C.M. AntiFold: Improved structure-based antibody design using inverse folding. Bioinformatics Advances 5(1):vbae202 (2025).

  3. Chinery, L.*, Hummer, A.M.*, Mehta, B.B.*, Akbar, R., Rawat, P., Slabodkin, A., Le Quy, K., Lund-Johansen, F., Greiff, V., Jeliazkov, J.R. and Deane, C.M. Baselining the Buzz. Trastuzumab-HER2 Affinity, and Beyond. bioRxiv (2024).

  4. Hummer, A.M.*, Abanades B.* and Deane, C.M. Advances in computational structure-based antibody design. Current Opinions in Structural Biology 74:102379 (2022).

  5. Marks, C., Hummer, A.M., Chin, M. and Deane, C.M. Humanization of antibodies using a machine learning approach on large-scale repertoire data. Bioinformatics 37(22):4041–4047 (2021).

  6. Kretsch, R.C., Hummer, A.M.*, He, S.*, Yuan, R., Zhang, J., Karagianes, T., Cong, Q., Kryshtafovych, A., Das, R. Assessment of nucleic acid structure prediction in CASP16. Proteins (2025, In Press).

    7. * Equal contribution; † Co-corresponding author



Full list of publications at Google Scholar



Current and past research projects:



Biotech Entrepreneurship

Nucleate logo

Nucleate Oxford, Co-Founder and Co-Managing Director
(2022-2024)

  • Co-founded and co-led the Oxford chapter of Nucleate, an international student-run organization that facilitates the formation of pioneering life sciences companies
  • Grew Oxford leadership team from 2 to >20 in 1 year
  • Key focus on supporting students/postdocs to spin out their research into companies – Nucleate Activator
  • Additional focuses included planning events to bolster the Oxford biotech entrepreneurship community, as well as research to better understand the ecosystem


OUBT logo

Oxford University Biotech Society, President (2021-2022)

  • Led committee of 9 students in organising events promoting diversity and entrepreneurship in biotech
  • Organised events including "Careers in Biotech", "Women in Biotech" and "Diversity in Biotech" with speakers from various backgrounds
  • Ran 8-week biotech ideation programme (Catalyse Oxford) with team formation, mentorship and pitching events - led to the formation of 3+ startups between the 2021 and 2022 cohorts
  • Raised >£8,000 in sponsorship as well as 3-month lab space prize