BRIAN B. AVANTS, Ph.D.
AI & Machine Learning Executive · Computational Anatomy Pioneer · Founder, Cingulate LLC
EXECUTIVE PROFILE: Entrepreneurial AI/ML executive, principal data scientist, and computational imaging pioneer with 20+ years of experience translating mathematical foundations into global open-source software and regulatory-grade clinical trial biomarkers. Co-creator and lead architect of the ANTsX ecosystem (ANTs, ANTsPy, ANTsR, ANTsPyNet, ANTsPyMM)—the international gold standard for medical image registration and morphometry (57,500+ citations, h-index 71). Author of four papers each cited more than 6,000 times (SyN, N4ITK, BRATS, and the ANTs registration evaluation). Proven track record building and leading high-performing machine learning teams across biotech (Biogen), global clinical trial CROs (Invicro), venture consulting (Cingulate LLC), and academic/defense research (UPenn, UVA, Brown ICERM).
57,500+ CitationsTop-cited medical imaging creator
h-index: 71 / i10: 166180+ peer-reviewed publications
#1 Ranked BenchmarksKlein, EMPIRE10, BRATS, SATA
Phase I–III AI LeadershipAduhelm (Nature cover), PPMI, UKBB
Core Competencies & Strategic Capabilities
| AI & Machine Learning: |
Multi-View Representation Learning (SiMLR), Stiefel Manifold Optimization (NSA-Flow), Deep Computational Anatomy, Normalizing Flows, 3D Super-Resolution, Disease Subtyping & Staging (subtyper, Aligned-UMAP), Multimodal Learning. |
| Clinical Trials & Biotech: |
Quantitative Imaging Biomarkers (MRI, Amyloid/Tau/TSPO PET, DTI, rs-fMRI, CT), Phase I–III Trial Endpoint Strategy, Patient Stratification, Translational Neuroscience (Alzheimer's, Parkinson's, FTD, ALS, TBI/Blast), Biobank Phenotyping. |
| Engineering & Product: |
Open-Source Ecosystem Architecture (ANTsX, ITKv4, Neuroconductor), C++, Python, PyTorch, TensorFlow/Keras, R, CMake, High-Performance Cloud & Distributed Clinical Pipelines, Automated Quality Control. |
Entrepreneurial, Executive & Industry Experience
Founder & Principal Consultant2018 – Present
Cingulate LLCPortsmouth, NH
- Founded and lead a specialized AI, computational anatomy, and quantitative biomarker consultancy delivering machine learning architecture and clinical trial analytics for biotechnology, pharmaceutical, defense (DoD/CDMRP), and academic clients.
- Created NSA-Flow (Non-Negative Stiefel Approximating Flow, PyTorch) and SiMLR (Similarity-driven Multi-view Linear Reconstruction, Nature Comp. Sci. 2021) for interpretable, sparse multi-omics and multi-modal neuroimaging representation learning.
- Lead quantitative phenotyping and normative neuroimaging library development across major population and disease cohorts, including the UK Biobank (N > 40,000), Parkinson's Progression Markers Initiative (PPMI), and LIMBIC-CENC.
Senior Director of Machine Learning2018 – 2024
Invicro (a Konica Minolta Company)Boston, MA
- Directed enterprise Machine Learning strategy and clinical trial software engineering across neurodegenerative, neuro-oncology, pulmonary, and multi-species therapeutic pipelines for a leading global imaging CRO.
- Architected and deployed ANTsPyMM and automated deep learning quality control, tissue/lesion segmentation, and concurrent 3D super-resolution pipelines to accelerate biomarker readouts in multi-center clinical trials.
- Led multi-institutional AI collaborations (with Michael J. Fox Foundation, NIH/NIA, and pharma sponsors) on multimodal patient representation learning with missing modalities (ICLR 2023) and longitudinal Parkinson's disease subtyping (Patterns 2023, EJHG 2024).
Associate Director, Translational & Advanced Analytics (Biomarkers)2016 – 2018
BiogenCambridge, MA
- Served as lead integrative imaging data scientist for the Aducanumab (Aduhelm) clinical trial program (Phase 1b PRIME and Phase 3 ENGAGE/EMERGE), driving quantitative biomarker evaluation and patient stratification in Alzheimer's disease.
- Conducted confirmatory amyloid PET SUVR reference/target region optimization and generated the primary visualization featured on the cover of Nature (Sevigny et al., 2016; Chiao et al., J. Nucl. Med. 2018).
- Pioneered longitudinal resting-state fMRI network biomarker analytics in amyloid-beta positive subjects (Neurobiology of Aging 2018) and launched ANTsPy to unify deep learning with diffeomorphic registration.
Algorithm Developer, Imaging Department1999 – 2000
Siemens Corporate ResearchPrinceton, NJ
- Developed adaptive minimal-path vessel tracking and 3D segmentation algorithms for CTA and CE-MRA volumetric clinical imaging systems.
Academic & Research Appointments
Visiting Associate Professor of Radiology and Medical Imaging2018 – Present
University of Virginia School of MedicineCharlottesville, VA
- Co-lead multi-view machine learning and neuroimaging biomarker studies investigating neuroinflammation (TSPO PET), brain volume change, and functional/structural connectivity in military Special Operations personnel and breachers exposed to repetitive blast overpressure (J. Neurotrauma 2020, 2022, 2024).
- Co-architect of the Normative Neuroimaging Library (J. Neurotrauma 2024) and Deep Computational Anatomy via Latent-Aligned Multiview Normalizing Flows (2026).
Visiting Scholar, ICERMSpring 2020
Brown UniversityProvidence, RI
- Invited visiting scientist for the semester program "Model and Dimension Reduction in Uncertain and Dynamic Systems"; established the mathematical foundations for similarity-driven multi-view embeddings (
SiMLR).
Assistant Professor of Radiology (2012–2016) · Research Associate (2008–2012) · Postdoctoral Fellow (2006–2008)2006 – 2016
University of Pennsylvania, Penn Image Computing and Science Laboratory (PICSL)Philadelphia, PA
- Invented Symmetric Diffeomorphic Image Registration (
SyN) (Med. Image Anal. 2008; 7,700+ citations) and co-developed N4ITK bias correction (IEEE TMI 2010; 8,400+ citations), Atropos segmentation, Eigenanatomy, and SCCAN.
- Principal Investigator on NIH Big Data to Knowledge (BD2K) K01 Career Development Award (Imaging Genomics of Pediatric Executive Function); Image Analysis Lead on IARPA KRNS; Registration Architecture Lead for the NLM Insight ToolKit (ITKv4) redesign.
Flagship Software Products & Open-Source Ecosystem
| ANTs (C++ Core): | Creator & Lead Architect (2008–Present): Premier open-source library for diffeomorphic image registration (SyN), bias correction (N4), tissue segmentation (Atropos), and cortical thickness (DiReCT). |
| ANTsPy & ANTsPyNet: | Co-Creator & Architect (2017–Present): Python & Keras/TensorFlow/PyTorch deep learning ecosystem for automated brain extraction, Deep Atropos, HippMapp3r, brain age, and 3D super-resolution. |
| ANTsPyMM: | Lead Architect (2021–Present): Automated multi-modal neuroimaging phenotyping pipeline (T1w, FLAIR, rs-fMRI, DTI, neuromelanin) with integrated outlier detection and quality control for clinical trials and biobanks. |
| ANTsR & subtyper: | Creator & Lead Designer (2012–Present): Statistical imaging, multivariate sparse canonical correlation (SCCAN), SiMLR, and longitudinal disease subtyping/staging packages in R. |
| NSA-Flow (nsa_flow): | Creator (2025–Present): PyTorch matrix optimization package implementing Non-Negative Stiefel Approximating Flow for orthogonalish, sparse, interpretable representation learning. |
| Insight ToolKit (ITKv4): | Registration Development Lead (2002–Present): Led the NLM-funded architectural overhaul of deformable image registration, metrics, and transforms for the global ITK medical imaging standard. |
Selected High-Impact & Recent Publications
- Tustison, N. J., Avants, B. B., Cook, P. A., Gee, J. C., & Stone, J. R. (2026). Deep Computational Anatomy via Latent-Aligned Multiview Normalizing Flows. bioRxiv / PubMed (PMID: 42146611).
- Theodorou, B., Dadu, A., Avants, B., Nalls, M., Sun, J., & Faghri, F. (2026). Realistic PET image synthesis from MRI for automated inference of brain atrophy and Alzheimer's. iScience, 29(5), 115747.
- Avants, B. B., et al. (2025). Non-Negative Stiefel Approximating Flow: Orthogonalish Matrix Optimization for Interpretable Embeddings. arXiv:2511.06425; & Joint representations from multi-view MRI-based learning... medRxiv.
- Tustison, N. J., Yassa, M. A., ..., Stone, J. R., & Avants, B. B. (2024). ANTsX neuroimaging-derived structural phenotypes of UK Biobank. Scientific Reports, 14(1), 8848.
- Stone, J. R., Avants, B. B., Tustison, N. J., et al. (2024). Neurological effects of repeated blast exposure in Special Operations personnel. Journal of Neurotrauma, 41(7–8), 942–956; & Normative Neuroimaging Library (2024), J. Neurotrauma, 41(23–24), 2497–2512.
- Yang, Z., Wen, J., Erus, G., Avants, B. B., et al. (2024). Brain aging patterns in a large and diverse cohort of 49,482 individuals. Nature Medicine, 30, 3015–3026.
- Wu, Z., Dadu, A., Tustison, N., Avants, B., Nalls, M., Sun, J., & Faghri, F. (2023). Multimodal Patient Representation Learning with Missing Modalities and Labels. ICLR 2023.
- Dadu, A., ..., Avants, B., Hesterman, J., & Gunn, R. (2023). Application of Aligned-UMAP to longitudinal biomedical studies. Patterns (Cell Press), 4(6), 100741.
- Avants, B. B., Tustison, N. J., & Stone, J. R. (2021). Similarity-driven multi-view embeddings from high-dimensional biomedical data. Nature Computational Science, 1(2), 143–152.
- Tustison, N. J., Cook, P. A., ..., Gee, J. C., & Avants, B. B. (2021). The ANTsX ecosystem for quantitative biological and medical imaging. Scientific Reports, 11(1), 9068.
- Tustison, N. J., Avants, B. B., Cook, P. A., Zheng, Y., Egan, A., Yushkevich, P. A., & Gee, J. C. (2010). N4ITK: Improved N3 bias correction. IEEE Transactions on Medical Imaging, 29(6), 1310–1320.
- Avants, B. B., Epstein, C. L., Grossman, M., & Gee, J. C. (2008). Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain. Medical Image Analysis, 12(1), 26–41.
Education & Benchmark Honors
Ph.D. in Bioengineering — University of Pennsylvania, Philadelphia, PA2005
Dissertation: Diffeomorphometry for Computational Anatomy · NIH Institute for Medicine and Engineering Trainee
M.S. in Computer Science — University of Pennsylvania, Philadelphia, PA2002
B.A. in Physics and Literature — New College of Florida, Sarasota, FL1998
With High Honors · National Merit Scholar (1994) · Humana Future Healthcare Researcher Scholar (1995)
Selected Benchmark & Scientific Awards: STACOM Best Paper Award (MICCAI 2014) · 1st Place, BRATS Brain Tumor Segmentation Challenge (MICCAI 2013, ANTsR) · 1st Place, SATA Segmentation Challenge (MICCAI 2013, ANTs) · "Standard Setting" Registration Benchmark (MICCAI 2013 Multi-Atlas Challenge) · 1st Overall, EMPIRE10 International Lung CT Registration Challenge (IEEE TMI 2010) · 1st Rank, Klein International Brain MRI Registration Evaluation (NeuroImage 2009) · MICCAI Young Investigator Award (2007).