CV

EDUCATION

• PhD Computer Science and Informatics (Concentration: Biomedical Informatics) - Aug 2025 (Expected)
• MSc Computer Science and Informatics (Interim Masters) - May 2024
• BSc Biomedical Engineering, Georgia Institute of Technology - Dec 2020

RESEARCH

Graduate Researcher, Bhasin Lab - Emory University (2021-), Atlanta, GA

• 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
• Utilized supervised learning methods to predict protein expression from mRNA measurements by training with paired CITE-seq data, addressing poor correlation between ADT and RNA levels to accurately label distinct blast populations in MPAL
• 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), Atlanta, GA

• Performed scRNA-seq, scATAC-seq, and lncRNA analysis to study endothelial cell reprogramming in the carotid artery

Data Analysis Internship - Open Medicine Institute (2018), Mountain View, CA

• Developed a single-cell RNA sequencing protocol for their patient data
• Developed and implemented personalized healthcare solutions

PUBLICATIONS

• Mumme HL, et al. Identification of leukemia-enriched signature through the development of a comprehensive pediatric single-cell atlas. Nat Commun 16, 4114 (2025). https://doi.org/10.1038/s41467-025-59362-5
• Yadalam AK, Chaudagar K, Mumme H, et. al. Rapid modulation of circulating adipokines and inflammatory cytokines in localized prostate cancer following short-term leuprolide therapy. Clinical Genitourinary Cancer 23, 4 (2025). https://doi.org/10.1016/j.clgc.2025.102358
• Bakhtiari M, Jordan SC, Mumme HL, et al. ARMH1 is a novel marker associated with poor pediatric AML outcomes that affect the fatty acid synthesis and cell cycle pathways. Frontiers in Oncology (2024). https://doi.org/10.3389/fonc.2024.1445173
• 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, American Society of Hematology, Dec 2024. “CAR-Machine: CAR-T Cell Target Identification Platform for Pediatric Acute Leukemia and Implementation to Identify Novel Targets for Pediatric AML”, https://doi.org/10.1182/blood-2024-210175
• Oral Presentation, Aflac Cancer and Blood Disorders Center Advances in Research, Nov 2024. “CAR-Machine: CAR T-Cell Target Identification Platform For Pediatric Acute Leukemia”
• 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 - Introduction to Computer Science I (Java), Graduate TA (Fall 2021)
• Atlanta Workshop on Single-cell Omics, Planning Committee (April 2022)
• Emory CS 170 - Introduction to Computer Science I (Java), Graduate TA (Fall 2022)
• Emory CS 470 - Data Mining (Java/Python), Graduate TA (Spring 2023)
• Emory QTM 150 - Introduction to Statistical Computing I (R), Graduate TA (Fall 2024)

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: Python (Matplotlib, Seaborn, Pandas, scikit-learn, PyTorch, plotly, dash), R (dplyr, tidyr, ggplot2, shiny), Bash, SQL, MarkDown, Java, LaTeX, Git

Omics Analysis: scRNA-seq, scATAC-seq, CITE-seq, bulk RNA-seq, Spatial Transcriptomics (Visium), lncRNA, functional genomics, proteomics

Bioinformatics: Seurat, Scanpy, batch correction, trajectory, RNA velocity, doublet identification, scvi-tools, GSEA, cellular communication, gene regulatory networks, cellranger, limma, STAR, Samtools, Bedtools, Nextflow

Bioengineering: MATLAB, Signal Processing, Multivariate Analysis, Solidworks, 3D printing, Arduino, Medical Image Analysis, Problem Solving, Experimentation

Computing & Cloud: High-Performance Computing, GPU, Slurm, Conda, Git, Docker, AWS, Azure

Communication: Oral and poster presentations at scientific conferences, presenting projects to analytical team and non-technical audiences, including clinical team.

AI/ML: Neural Networks, Regression, VAE, SVM, Random Forest, Transformers, Zero-Shot Learning