Malvern Madondo
Scholar

Malvern Madondo

Google Scholar ID: yYwEzOcAAAAJ
Research Scientist @ UChicago, Biological Sciences Division
applied mathematicsmachine learningreinforcement learningcomputational biomedicine
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Citations & Impact
All-time
Citations
55
 
H-index
3
 
i10-index
2
 
Publications
17
 
Co-authors
0
 
Contact
Emailmadondomalvern@gmail.comGitHubOpen ↗LinkedInOpen ↗
Publications
2 items
Learning a Continuous Sepsis Severity Score Without Hour-by-Hour Supervision: A Two-Site Retrospective Study
2026
Cited
0
Automated Treatment Planning for Interstitial HDR Brachytherapy for Locally Advanced Cervical Cancer using Deep Reinforcement Learning
2025
Cited
0
Resume
Academic Achievements
  • Published work on 'Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics' and 'A Neural ODE Approach to Glycemic Control'. Participated in multiple research projects including closed-loop control for deep brain stimulation and glycemic control for Type 1 Diabetes management.
Research Experience
  • Research Scientist at the Department of Radiation & Cellular Oncology, Biological Sciences Division, UChicago; has worked on related projects at IBM Research and Eli Lilly.
Education
  • PhD in Computer Science from Emory University, advised by Dr. Lars Ruthotto; supported by a Google PhD Fellowship in Computational Neural and Cognitive Sciences. Undergraduate: The College of Saint Scholastica, majoring in Computer Science/Information Systems and Mathematics.
Background
  • Research Scientist, focusing on developing automatic treatment planning algorithms for various radiotherapy modalities. Research interests include applications of machine learning and mathematical optimization in critical domains like healthcare.