Fast computation of the eigensystem of genomic similarity matrices.
Hahn G, Lutz SM, Hecker J, Prokopenko D, Cho MH, Silverman EK, Weiss ST, Lange C.
BMC Bioinformatics. 2024 Jan 25. 25(1):43. PMID: 38273228
Overview
Hi there! Following my one-year EPSRC doctoral prize fellowship at the Statistics Department of Imperial College London (2016-17), and a research associate position in the StatScale project (2017-19), I am currently a research associate at Harvard University working on statistics methodology in the Biostatistics Department of the Harvard T.H. Chan School of Public Health.
Please have a look at my personal website for my complete CV, a complete list of my publications, as well as an overview of my research interests.
Bibliography
A consistent pattern of slide effects in Illumina DNA methylation BeadChip array data.
Hecker J, Lee S, Kachroo P, Prokopenko D, Maaser-Hecker A, Lutz SM, Hahn G, Irizarry R, Weiss ST, DeMeo DL, Lange C.
Epigenetics. 2023 12. 18(1):2257437. PMID: 37731367
Transcriptomic profiles of multiple organ dysfunction syndrome phenotypes in pediatric critical influenza.
Novak T, Crawford JC, Hahn G, Hall MW, Thair SA, Newhams MM, Chou J, Mourani PM, Tarquinio KM, Markovitz B, Loftis LL, Weiss SL, Higgerson R, Schwarz AJ, Pinto NP, Thomas NJ, Gedeit RG, Sanders RC, Mahapatra S, Coates BM, Cvijanovich NZ, Ackerman KG, Tellez DW, McQuillen P, Kurachek SC, Shein SL, Lange C, Thomas PG, Randolph AG.
Front Immunol. 2023. 14:1220028. PMID: 37533854
Longitudinal Analysis of Contrasts in Gene Expression Data.
Hahn G, Novak T, Crawford JC, Randolph AG, Lange C.
Genes (Basel). 2023 05 24. 14(6). PMID: 37372314
A comparison between similarity matrices for principal component analysis to assess population stratification in sequenced genetic data sets.
Lee S, Hahn G, Hecker J, Lutz SM, Mullin K, Hide W, Bertram L, DeMeo DL, Tanzi RE, Lange C, Prokopenko D.
Brief Bioinform. 2023 01 19. 24(1). PMID: 36585781
Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest.
Hahn G, Lee S, Prokopenko D, Abraham J, Novak T, Hecker J, Cho M, Khurana S, Baden LR, Randolph AG, Weiss ST, Lange C.
BMC Bioinformatics. 2022 Dec 19. 23(1):547. PMID: 36536276
Covariate adjustment of spirometric and smoking phenotypes: The potential of neural network models.
Voorhies K, Bie R, Hokanson JE, Weiss ST, Chen Wu A, Hecker J, Hahn G, Demeo DL, Silverman E, Cho MH, Lange C, Lutz SM.
PLoS One. 2022. 17(5):e0266752. PMID: 35544468
A Smoothed Version of the Lassosum Penalty for Fitting Integrated Risk Models Using Summary Statistics or Individual-Level Data.
Hahn G, Prokopenko D, Lutz SM, Mullin K, Tanzi RE, Cho MH, Silverman EK, Lange C.
Genes (Basel). 2022 01 06. 13(1). PMID: 35052450
Genome-wide association analysis of COVID-19 mortality risk in SARS-CoV-2 genomes identifies mutation in the SARS-CoV-2 spike protein that colocalizes with P.1 of the Brazilian strain.
Hahn G, Wu CM, Lee S, Lutz SM, Khurana S, Baden LR, Haneuse S, Qiao D, Hecker J, DeMeo DL, Tanzi RE, Choudhary MC, Etemad B, Mohammadi A, Esmaeilzadeh E, Cho MH, Li JZ, Randolph AG, Laird NM, Weiss ST, Silverman EK, Ribbeck K, Lange C.
Genet Epidemiol. 2021 10. 45(7):685-693. PMID: 34159627
Unsupervised cluster analysis of SARS-CoV-2 genomes reflects its geographic progression and identifies distinct genetic subgroups of SARS-CoV-2 virus.
Hahn G, Lee S, Weiss ST, Lange C.
Genet Epidemiol. 2021 04. 45(3):316-323. PMID: 33415739
News
Using quantitative genomics to track and understand COVID-19
Tracking variants of SARS-CoV-2, understanding which mutations make the virus more dangerous, and figuring out where the virus originally came from were some of the topics highlighted at the 15th annual Program in Quantitative Genomics conference.
Methodology from genome-wide association studies accurately flags more deadly SARS-CoV-2 variant
Methodology from genome-wide association studies accurately flags more deadly SARS-CoV-2 variant
