top of page


Nicolas Honnorat.JPG

Nicolas Honnorat, Ph.D.


Nicolas Honnorat received his Engineering Degree, his M.Sc., and his Ph.D. from the Ecole Centrale Paris in 2008 and 2013. After a five-year postdoctoral fellowship at the University of Pennsylvania and a three-year mission as a research scientist at SRI International, Nicolas joined the University of Texas Health Science Center at San Antonio in 2021 as a research instructor. His primary research interests are in image processing, optimization, and machine learning, with a specific interest in the analysis of MRI images and extensive expertise in studying functional MRI data. His current research projects aim at modeling the impact of neurogenerative diseases on the brain by analyzing large multimodal neuroimaging datasets and combining in-vivo and postmortem neuroimaging



Tanweer Rashid, Ph.D.

Research Scientist

Tanweer Rashid received his BSc in Computer Engineering from North South University, Dhaka, Bangladesh. He completed his MSc and PhD in Modeling and Simulation from Old Dominion University in Norfolk, VA, USA. He has previously worked on the development of algorithms for 2-manifold surface mesh generation and multi-material deformable surface meshes. Tanweer has also done research work in functional MRI analysis for Parkinson’s disease subjects treated with deep brain stimulation. Tanweer’s primary research interests are in machine learning/deep learning and their applications in brain aging, small vessels disease, postmortem brains and neurological disorders such as Parkinson’s and Alzheimer’s disease. He is currently working on developing deep learning algorithms for the detection of cerebral microbleeds, enlarged perivascular spaces, infarcts and other types of small vessels diseases, and for the identification of potential biomarkers related to Alzheimer’s Disease.

Crystal Franklin, M.Sc.


I received my BS in Biology from Texas State University, San Marcos, TX in 2000. Following graduation, I began working at the Research Imaging Institute at UT Health San Antonio. I play a major role in the processing and analysis of functional and structural magnetic resonance imaging, positron emission tomography and clinical data using highly sophisticated computer systems, statistical software tools, and algorithms for multiple funded imaging projects. In addition, I train faculty, post docs, students and incoming staff procedures and software used for analysis. I enjoy learning new techniques and software for processing and interpreting neuroimaging data.

David Michael Martinez.jpg

David Michael Martinez, Ph.D.

Project Manager

David Martinez received his BA in Psychology from Baylor University in Waco TX.  His MSc is in Applied Cognition and Neuroscience, and his Ph.D. is in Psychological Sciences, both from The University of Texas at Dallas.  David has worked in the fields of psychology, cognition, and neuroimaging, with a particular focus on clinical populations.  David has managed imaging trials at both the University of Texas at Dallas and the University of Texas Southwestern Medical Center.  David also has experience in managing pharmaceutical clinical trials as a manager for North Texas operations.  Before entering graduate school in Dallas, David worked in the Research Imaging Institute at UT Health San Antonio and has returned to his current role as Project Manager for the Neuroimaging Core with the Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases.

Sachintha Ransara Brandigampala.jpeg

Sachintha Ransara Brandigampala B.S.

Imaging Data Analyst

I'm an electrical and computer engineering graduate from University of California, San Diego with a research background in medical imaging. I have experience conducting research in medical imaging and have published articles on data augmentation methods for object detection and segmentation in ultrasound scans. My expertise includes statistical analysis and machine learning/deep learning techniques. I'm dedicated to advancing medical imaging technology to improve diagnosis, treatment, and patient outcomes.

website image.png

Marco Boisselier, B.S.

(co-supervised with Tiffany Kautz)

received his BS in Neuroscience with a minor in Chemistry from Trinity University, San Antonio, TX in 2023. He previously worked in Dr. Kimberley Phillips' lab for four years developing a protocol to analyze and interpret PET-CT scans of Common Marmoset monkeys (Callithrix jacchus) using PMOD software. The project sought to determine the extent to which loneliness or social isolation contributed to cognitive decline. His current research interests include neurodegenerative diseases, neuroimaging analysis, biomarker identification, and cerebrovascular contributions to aging. He currently splits his time between the Biobank lab and the Neuroimaging Analytics lab where he helps with postmortem MRI-guided histopathology analyses.


Anoop Benet Nirmala, Ph.D.

Anoop Benet Nirmala received his M. Tech degree in Signal Processing from the National Institute of Technology Calicut, India. He has completed his Ph.D. in Computer Science and Engineering from the National Institute of Technology Karnataka, India, in the topic Development of automated methods for the Optical Coherence Tomography (OCT) Image analysis. Anoop’s primary research interests are in image processing, machine learning/deep learning and their applications in Biomedical Images such as MRI and OCT images. He is currently developing deep learning algorithms for the identification of cerebral small vessels diseases from the ex-vivo MRI, which are the potential biomarkers related to Alzheimer’s Disease.

Karl Li, MD/PhD

(co-supervised with Mitzi Gonzales)

Karl received his MD/PhD from the University of Texas Health at San Antonio. For his PhD training he worked in Dr. Peter Fox's lab, where he did his dissertation on assessing functional connectivity changes in the default mode network with normal aging as well as other common comorbidities better understand normal aging without neurodegenerative disease.

My work sought to establish a functional connectivity biomarker of the default mode network to search for potential early indicators of neurodegenerative conditions.



Sokratis M Charisis, MD

I am currently a resident in the Department of Neurology at UT Health San Antonio. Following the completion of my medical degree, I undertook a 2.5-year epidemiology and clinical research fellowship at the University of Athens, Greece, during which I received training in Epidemiology and Population Health from the Department of Epidemiology at the University of Athens, Greece, and extensive training in applied statistics at the Hellenic Mathematical Society (HMS). My research is focused on the investigation of imaging, metabolic, and genetic biomarkers in neurodegenerative diseases and healthy aging, by utilizing data from large epidemiological studies such as the Framingham Heart Study and the Multi-Ethnic Study of Atherosclerosis. In particular, I am interested in identifying certain genetic signatures, and subtle alterations in brain structural and functional measures as well as in metabolic homeostasis that are associated with early neurodegenerative changes and vascular brain injury. I feel proud and privileged to be part of NAL, where we leverage state-of-the-art AI tools to make groundbreaking discoveries in neuroimaging research.

Ph.D. Students


Di Wang

I started my medical imaging research in 2016 at the Center for Advanced Imaging Innovation and Research of New York University. In the subsequent year, I obtained master's degree in biomedical engineering from New York University. In 2018, I started my PhD in biomedical engineering at the Research Imaging Institute of the University of Texas Health Science Center at San Antonio. I have acquired extensive knowledge regarding medical imaging processing, statistical analysis, and machine learning/deep learning. Currently, my work and interest are focused on understanding and analyzing medical imaging using innovative machine learning and deep learning methods. 

Mariam Mojtabai.png

Mariam Mojtabai

I received my BS (2020) and MS (2022) in Physics with a focus in astrophysics from New Mexico Institute of Mining and Technology. My interest in imaging led me to pursue a PhD in Radiological Sciences, specializing in Medical Physics with a concentration in imaging at the University of Texas Health Science Center in San Antonio. My current interests are in medical image processing and analysis along with machine learning/deep learning.

M.D. Students

David Haoyuan Wang.jpeg

David Haoyuan Wang

I received my BS in Biomedical Engineering from the University of Texas at Austin, and I am a MS1 at the Long School of Medicine at UT Health San Antonio. My work with neurology patients at Ascension Seton motivated me to enter the field of medicine and is where I decided to dedicate my career to the field of neurology. I am interested in the development of prognostic tools for the progression of Alzheimer’s.

Morgan Fox Torres.jpg

Morgan Fox Torres 

Morgan Fox Torres obtained his Bachelor’s degree at Texas A&M International University. Upon graduation, he became a medical student at the Long School of Medicine at the University of Texas Health Science Center at San Antonio. He enjoys helping underserved communities, such as in Laredo, Texas, where he volunteers his time helping host health screenings, and researching barriers to healthcare access in such communities. He has a goal of becoming a radiologist with a sub-specialization in neuroradiology. Driven by a fascination with the brain's complexities, Morgan is currently dedicated to research focused on identifying cerebral microbleeds. This work aims to assist with machine learning and contribute to the diagnosis and treatment of neurological conditions. Morgan aspires to contribute significantly to the field of neuroradiology, enhancing patient care through innovation and research.


  • Yuhan Cui, M.Sc. Data Analyst. New position: bioinformatician at CBICA.

  • Haykel Snoussi, Ph.D. Image and Data Analyst. New position: postdoctoral fellow at Baylor.

  • Hangfan Liu, Ph.D. Postdoc. New position: assistant professor at University of Maryland.

  • Elyas Fadaee, M.D. Postdoc. New position: resident at Texas Institute for GME and research.

bottom of page