Lab members

Michael I. Love (he/him/his)
Associate Professor - Genetics and Biostatistics at UNC-Chapel Hill
Associate Director - Bioinformatics and Computational Biology (BCB) PhD program

Email: michaelisaiahlove [at] gmail / love [at] unc.edu

For software support, please post to Bioconductor support site.

Name	Research topics	Position
Michael Love	Statistical software for genomic data analysis; Causal mechanisms for GWAS loci	PI
Jon Rosen	Functional interrogation of GWAS variants; MPRA library design and analysis in IGVF and AMP-CMD; Gen. Epi. of HLB Traits, Karen Mohlke lab	Postdoctoral fellow
Yuriko Harigaya	Statistical methods for response QTL, ClassifyGxT Co-supervised with William Valdar	Postdoctoral feelow
Rachel Sharp LinkedIn @rrsharp122	Neuropsychiatric GWAS, gene-by-environment effects, differential phenotyping in bipolar disorder	PhD candidate (Neuro/BCB)
Justin Landis	Tidyomics, plyxp, long-read RNA-seq methods and software	PhD candidate (BCB)
Beatriz Campillo Miñano	Long-read RNA-seq methods, software, and visualization: SPLain, splicelogic	PhD candidate (BCB)

Alumni

Name	Research topic	Current position
Euphy Wu @FennecPaaaw	Isoform-level allelic imbalance: SEESAW	Institute for Trauma Recover
Ji-Eun Park @JiEunPark	Mutational signatures and risk factors in cancer	Dana Farber Cancer Institute
Wancen Mu @wancenm	Allelic imbalance in scRNA-seq: airpart; Bootstrap enrichment analysis: nullranges; Gaussian processes for multi-omic time series; Predictive modeling of gRNA efficiency	Meta
Sarah Reifeis @sarah_reifeis	Exposure effects with confounding	Eli Lilly
Scott Van Buren	scRNA-seq quantification uncertainty	GSK
Achal Patel @pateap07	Breast cancer TWAS	Genentech
Arjun Bhattacharya @bhattac_a_bt	TWAS for breast cancer outcomes; Multi-omic strategies in TWAS: MOSTWAS; Compressed sensing for deconvolution: DeCompress	Assist. Prof., MD Anderson
Sean McCabe @SeanMcCabeBIOS	Multi-omics visualization: movie; LDA of isoforms: actor	Assist. Prof., Indiana Univ.
Anqi Zhu @anqiz91	Differential analysis in RNA-seq; Developed apeglm, swish, mrlocus	Genentech

Name	Research topic	Current position
Isabella Gamez	Bacterial RNA-seq - Rita Tamayo lab	Microbial Disease Epidemiology, Yale
Kwame Forbes @kwame_forbes	Integration of single cell expression data for exploration of bulk DE analysis	UNC BCB, Dominguez and Aleman labs
Alexandre Lockhart	Identification of mutational signatures via targeted sequencing	Rho Inc.

(Current or former students from other labs that have contributed to Love Lab research)

Name	Research topic	School (lab)
Pierre-Paul Axisa	Tidyomics developer	Novo Nordisk Foundation Center
Anna A. Monaco	Molecular Biology/Genetics/Evo-Devo	Robert Zinzen (Berlin)
Noor P. Singh	Statistical methods for RNA-seq	UMD (Patro)
Dongze He	Single-cell RNA-seq	UMD (Patro)
Avi Srivastava	Fast mapping, scRNA-seq quant.	SBU (Patro)
Hirak Sarkar	Selective alignment, scRNA-seq simulation, transcript grouping	UMD (Patro)
Stuart Lee	Human-centred data science, tidy range operations	Melbourne