Dr Gamze Gursoy | Department of Applied Mathematics and Theoretical Physics

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Gamze is an Assistant Professor in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. She previously served as the Herbert Irving Assistant Professor in the Department of Biomedical Informatics at Columbia University. Prior to joining Columbia, she completed a K99/R00 postdoctoral fellowship in computational biology at Yale University and earned her Ph.D. in Bioinformatics from the University of Illinois at Chicago. Further information on her group and her research can be found at g2lab.org

Publications

pC-SAC: A method for high-resolution 3D genome reconstruction from low-resolution Hi-C data

JC Angel, N El Amraoui, G Gürsoy

– Nucleic acids research

(2025)

53,

gkaf289

(doi: 10.1093/nar/gkaf289)

Secure and scalable gene expression quantification with pQuant.

S Hong, CR Walker, YA Choi, G Gürsoy

– Nat Commun

(2025)

16,

2380

(doi: 10.1038/s41467-025-57393-6)

Secure and federated quantitative trait loci mapping with privateQTL.

YA Choi, Y Kim, P Miao, T Lappalainen, G Gürsoy

– Cell Genomics

(2025)

5,

100769

(doi: 10.1016/j.xgen.2025.100769)

ScatTR: Estimating the Size of Long Tandem Repeat Expansions from Short-Reads

R Al-Abri, G Gürsoy

(2025)

15647 LNBI,

362

(doi: 10.1007/978-3-031-90252-9_40)

On the Overflow and p-adic Theory Applied to Homomorphic Encryption

J Blindenbach, JH Cheon, G Gürsoy, J Kang

(2025)

15349,

268

(doi: 10.1007/978-3-031-76934-4_18)

SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicine

J Blindenbach, J Kang, S Hong, C Karam, T Lehner, G Gürsoy

– Genome Biol

(2024)

25,

314

(doi: 10.1186/s13059-024-03447-9)

Paired CRISPR screens to map gene regulation in cis and trans.

X Xue, ZZ Gajic, CM Caragine, M Legut, C Walker, JYS Kim, X Wang, RE Yan, H-H Wessels, C Lu, N Bapodra, G Gürsoy, NE Sanjana

– bioRxiv

(2024)

2024.11.27.625752

(doi: 10.1101/2024.11.27.625752)

A framework for sharing of clinical and genetic data for precision medicine applications

A Elhussein, U Baymuradov, NYGC ALS Consortium, N Elhadad, K Natarajan, G Gürsoy

– Nature medicine

(2024)

30,

3578

(doi: 10.1038/s41591-024-03239-5)

Privacy-preserving model evaluation for logistic and linear regression using homomorphically encrypted genotype data.

S Hong, YA Choi, DS Joo, G Gürsoy

– Journal of Biomedical Informatics

(2024)

156,

104678

(doi: 10.1016/j.jbi.2024.104678)

Assessing and mitigating privacy risks of sparse, noisy genotypes by local alignment to haplotype databases

PS Emani, MN Geradi, G Gürsoy, MR Grasty, A Miranker, MB Gerstein

– Genome Research

(2023)

33,

2156

(doi: 10.1101/gr.278322.123)