CV
EDUCATION
- B.Sc. Biomedical Engineering, Georgia Institute of Technology - Dec 2020
- M.Sc. Computer Science and Informatics (Interim Masters) - May 2024
- Ph.D Computer Science and Informatics (Concentration: Biomedical Informatics) - May 2025 (Expected)
RESEARCH
Graduate Researcher, Bhasin Lab - Emory University (2021-)
- Developing CAR-T target identification platform using single-cell RNA sequencing data from leukemia and vital tissues. Identifying targets or pairs of targets, including for logic-gated CARs
- Performed pediatric Pan-Leukemia transcriptomic analysis to identify 9 genes dysregulated in leukemia and over-expressed at diagnosis in AML, ALL, and MPAL
- Developed PedSCAtlas, interactive tool for analyzing compiled datasets of pediatric single-cell RNA-seq cancer datasets for pediatric cancer subtypes
- Performed single-cell RNA-seq analysis of pediatric mixed phenotype acute leukemia (MPAL), and comparison to other acute leukemia subtypes
- Validated our group’s 7-gene signature for identification of AML malignant blast cells using external single-cell and bulk RNA-seq datasets
- Assisted with various bioinformatics projects in the lab, such as the development and maintenance of the web resource Survival Genie, single-cell analysis of T-cell acute lymphoid leukemia immune microenvironment, and the single-cell analysis of diabetic foot ulcer healing
Undergraduate Researcher, Jo Lab - Georgia Institute of Technology (2019-2020)
- Performed scRNA-seq, scATAC-seq, and lncRNA analysis to study endothelial cell reprogramming in the carotid artery
Data Analysis Internship - Open Medicine Institute (2018)
- Developed a single-cell RNA sequencing protocol for their patient data
PUBLICATIONS
- Choi D, Bakhtiari M, Pilcher W, Huang C, Thomas BE, Mumme H, et al. Single-cell analysis of debrided diabetic foot ulcers reveals dysregulated wound healing environment in non-hispanic blacks. JID (2024). https://doi.org/10.1016/j.jid.2024.07.017
- Mumme HL, Raikar SS, Bhasin SS et al. Single-cell RNA sequencing distinctly characterizes the wide heterogeneity in pediatric mixed phenotype acute leukemia. Genome Med 15, 83 (2023). https://doi.org/10.1186/s13073-023-01241-z
- Mumme H, Thomas BE, Bhasin SS et al. Single-cell analysis reveals altered tumor microenvironments of relapse- and remission-associated pediatric acute myeloid leukemia. Nat Commun 14, 6209 (2023). https://doi.org/10.1038/s41467-023-41994-0
- Bhasin SS, Thomas BE, Summers RJ, Sarkar D, Mumme H et al. Pediatric T-cell acute lymphoblastic leukemia blast signature and MRD associated immune environment changes defined by single cell transcriptomics analysis. Sci Rep 13, 12556 (2023). https://doi.org/10.1038/s41598-023-39152-z
- Dwivedi B, Mumme H, Satpathy S et al. Survival Genie, a web platform for survival analysis across pediatric and adult cancers. Sci Rep 12, 3069 (2022). https://doi.org/10.1038/s41598-022-06841-0
- Theocharidis G, Thomas BE, Sarkar D, Mumme HL et al. Single cell transcriptomic landscape of diabetic foot ulcers. Nat Commun 13, 181 (2022). https://doi.org/10.1038/s41467-021-27801-8
- Andueza A, Kumar S, Kim J, Kang DW, Mumme HL et al. Endothelial Reprogramming by Disturbed Flow Revealed by Single-Cell RNA and Chromatin Accessibility Study. Cell Rep 33, 11 (2020). https://doi.org/10.1016/j.celrep.2020.108491
- Mankoul-Mansour MM, El-Beyrouthy JB, Mumme HL, Freeman, EC. Photopolymerized microdomains in both lipid leaflets establish diffusive transport pathways across biomimetic membranes. Soft Matter 15, 43 (2019). https://doi.org/10.1039/C9SM01658A
PRESENTATIONS
- Poster Presentation, Atlanta Workshop on Single-cell Omics, April 2024. “CAR-Machine: Resource for Single-Cell Guided CAR-T Target Identification and Testing for Hematological Childhood Cancers”
- Poster Presentation, Atlanta Workshop on Single-cell Omics, April 2024. “Single-cell Profile of Prostate Cancer PBMCs Before and After Androgen Deprivation Therapy”
- Poster Presentation, St. Jude National Graduate Student Symposium, March 2024. “Single Cell RNA Sequencing Driven Characterization of Pediatric Mixed Phenotype Acute Leukemia”
- Poster Presentation, Atlanta Workshop on Single-cell Omics, April 2023. “Single Cell RNA Sequencing Driven Characterization of Pediatric Mixed Phenotype Acute Leukemia”
- Oral Presentation, American Society of Hematology, Dec 2022. “A Single Cell Atlas and Interactive Web-Resource of Pediatric Cancers and Healthy Bone Marrow”, https://doi.org/10.1182/blood-2022-169153
- Oral Presentation, Atlanta Workshop on Single-cell Omics, April 2022. “Pediatric Cancer Cell Atlas”
- Poster Presentation, American Society of Hematology, Dec 2021. “Pediatric Single Cell Cancer Atlas: An Integrative Web-Based Resource for Single Cell Transcriptome Data from Pediatric Leukemias”, https://doi.org/10.1182/blood-2021-154282
- Poster Presentation, American Society of Hematology, Dec 2021. “Single Cell RNA Sequencing Driven Characterization of Rare B/Myeloid and T/Myeloid Mixed Phenotype Acute Leukemia”, https://doi.org/10.1182/blood-2021-153776
TEACHING AND ACTIVITIES
- Emory CS 170, Graduate TA (Fall 2021)
- Atlanta Workshop on Single-cell Omics, Planning Committee (April 2022)
- Emory CS 170, Graduate TA (Fall 2022)
- Emory CS 470, Graduate TA (Spring 2023)
WORKSHOPS
- NCI Human Tumor Atlas Network (HTAN) Data Jamboree (December 2023)
- download, process, and map immune infiltration of HTAN spatial transcriptomics (ST) data (using scRNA-seq as reference for immune signatures)
- gained experience with analyzing 10X Visium data and pancreatic ductal adenocarcinoma (PDAC)
- HTAN Immune Infiltration Github with our code and results
AWARDS
- Best Poster, Atlanta Workshop on Single-cell Omics (April 2023)
SKILLS
Programming: R, Python, Bash, Matlab, MarkDown, Java, LaTeX, Git
Omics Analysis: scRNA-seq, scATAC-seq, CITE-seq, bulk RNA-seq, Spatial Transcriptomics (Visium)
AI: scikit-learn, tensorflow, pytorch
Web Tool Dev: R shiny, Python dash, HTML
Other: Github, Microsoft Office