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Professor, Radiation Oncology
HEnderling@MDAnderson.org

Past President, Society for Mathematical Biology
Fellow, Society for Mathematical Biology

Nahum?Puebla?Osorio,?D.V.M.,?Ph.D.
Assistant Professor

Nahum is trained as a veterinarian and immunologist. He earned his D.V.M. from the National Autonomous University of?Mexico (UNAM) and his Ph.D. in comparative immunology from Texas?A&M?University.

Nahum¡¯s research investigates how the tumor microenvironment (TME) shapes and can be re?shaped by radiotherapy to improve the efficacy of adoptively transferred T cells against solid tumors. He integrates cellular and molecular immunology expertise, genomic instability and DNA?repair pathways to design next-generation therapeutic approaches. Current efforts include engineering chimeric antigen receptors (CARs) for solid tumor targeting and elucidating how low-dose radiotherapy enhances T cell effector function. Two investigator?initiated clinical trials (non-small cell lung cancer and advanced tumor-infiltrating lymphocyte therapy) test?Nahum¡¯s low-dose radiotherapy protocols paired with cellular therapies. Additionally,?Nahum?completed a nine-month intensive course in Data Science and Business Analytics (UT McCombs School of Business, 2023) and received advanced training in Python for Machine Learning and AI in 2024. He is applying these skills to develop novel machine-learning methods that address the challenges of missing data in radiation oncology research and using neural networks to generate synthetic Gramian angular fields representing time series.?Nahum?also serves the scientific community as a lead editor for the journals Frontiers in Immunology?and Frontiers in Oncology, and as an ad?hoc reviewer for funding agencies.

Mohammad Zahid, Ph.D.
Instructor

Mohammad received his Ph.D. in bioengineering from the University of Illinois Urbana-Champaign in 2018, where he worked in Andrew Smith¡¯s lab and developed tools for quantitative molecular imaging. Since then, he¡¯s been working in the Enderling Lab on mathematical models of response to various types of cancer treatment (e.g., radiotherapy, immunotherapy, photodynamic therapy) with a focus on modeling metrics for and shifts in tumor and immune dynamics.

Kayode?Ahmed,?M.D.,?M.S.
Research Data Coordinator

Kayode?has a background in clinical?medicine, applied?mathematics and informatics, applied statistics with network analysis, biomedical engineering, computational biology-individualized genomics and health and applied clinical research. He is particularly interested in?mathematical oncology, with a growing focus on applications in radiation oncology and treatment?modeling.

Maureiq Ojwang, Ph.D.
Postdoctoral Fellow

Maureiq received her Ph.D. in biomathematics from North Carolina State University, Raleigh, North Carolina. She is interested in exploring biological processes using network, mathematical and agent-based modeling of dynamical systems. More specifically, her research interests include a data-driven understanding of tumor-immune-microenvironment interactions with respect to personalized therapy options. Outside work, she enjoys dancing, running and cat sitting.

Pirmin Schlicke, Ph.D.
Postdoctoral Fellow

Pirmin is an applied mathematician who works on simulating and predicting the interconnectivity of metastatic disease by the immune system, and systemic responses to local radiotherapy. He is also interested in spatial statistics of biopsy tissues.

Rayne Crenshaw
Research Intern

Rayne is a senior in the International Baccalaureate program at Land O¡¯Lakes High School in Florida. She recently completed the High School Internship Program in Integrated Mathematical Oncology at Moffitt Cancer Center, which was her introduction to research and coding. During the eight week program, she explored whether spatial statistics can be used to predict the migration and proliferation parameters of an unknown tumor. She is now continuing this project and exploring a broader range of parameter uncertainties as an intern at MD Anderson Cancer Center.

Roshan Dongre
Research Intern

Roshan is a medical student in the Texas A&M School of Engineering Medicine. Prior to medical school, he was a software engineer at Amazon Web Services (AWS) as well as at several trading firms in Chicago, Philadelphia and NYC. He is interested in applying his software background to medical research to improve the lives of his future patients.

Ashna Patel
Research Intern

Ashna is a second-year undergraduate student at Northwestern University majoring in biomedical engineering and an undergraduate research intern in Enderling Lab. Her previous research involved using an agent-based model to determine trends in tumor invasion speed and developing sets of synthetic patients to train a machine learning algorithm to correctly predict recurrence outcomes in non-small cell lung cancer patients. Her current research involves working with mathematical models of radiation therapy.

Aleksandra Aiurova
University of Houston Masters Student

Tiffany Nguyen
University of Houston Masters Student