David Arredondo, PhD 

ASERT Fellow 

University of New Mexico Health Sciences Center 

Dept. Medicine, Div. Molecular Medicine 

darredondo@salud.unm.edu  

Education 

• ASERT Postdoctoral Fellow, University of New Mexico School of Medicine, 2023 - Present 
• PhD, Nanoscience and Microsystems Engineering, University of New Mexico, December 2022 
• MS, Computer Science, University of New Mexico, May 2022 
• BS, Physics University of Denver Computational Physics, Biophysics, National Hispanic Merit Scholarship, June 2014 

Teaching 

Teaching Mentor: Not assigned yet 

Courses Taught: 

Research  

Current Research (One sentence synopsis): Building AI models in computational biology to explore the tumor microenvironment toward advancements in cancer treatment.     

Research Mentors:  

• Avinash Sahu, Ph.D., Asst. Professor, Internal Medicine SOM, Cancer Therapeutics –   

    Comprehensive Cancer Center 

• Diane Lidke, Ph.D., Professor, Department of Pathology | Fluorescence Microscopy Shared Resource Director, Cancer Center – Cellular & Molecular Oncology

Publications: 

• Arredondo, D. and Lakin, M. R. (2023) Supervised learning in a multilayer, nonlinear chemical neural network, IEEE TNNLS, 34 (10) 7734 - 7745 
• Arredondo, D (2022). Control Mechanisms for Adaptive Nanoscale Devices. PhD dissertation, The University of New Mexico 
• Arredondo, D. and Lakin, M. R. (2022), Operant conditioning of stochastic chemical reaction networks, PLOS Computational Biology, 18 (11) e1010676 
• Arredondo, D. and Lakin, M. R. (2021), Robust finite automata in stochastic chemical reaction networks, Royal Society Open Science, 8 (12) 211310 
• Arredondo, D., Lakin, M. R., Stefanovic, D., Stojanovic, M. N. (2021), Development and Application of Catalytic DNA in Nanoscale Robotics. In DNA‐ and RNA‐based Computing Systems, Chapter 15, Wiley VCH, Ed. Evgeny Katz 
• Arredondo, D. and Stefanovic, D. (2020), Effect of polyvalency on tethered molecular walkers on independent one‐dimensional tracks, Physical Review E, 101 (6) 062101