About Dr. Richard Murdoch Montgomery
Prof. Dr. Richard Murdoch Montgomery (RG 17442289-1, CRM 117260) is a certified Neurologist and Computer Scientist specialized in computational neuroscience, topology, artificial intelligence, and neural networks. His multidisciplinary expertise spans neurology, computer science, mathematics, and artificial intelligence, with a particular focus on developing innovative diagnostic tools using machine learning and EEG analysis, as well as topological patterns applied to physics, zoology, biology, and epidemiology.
Academic Qualifications
- Bachelor's Degree in Economics - University of São Paulo (USP, 2002)
- Medical Degree - Faculdade de Ciências Médicas da Santa Casa de São Paulo (2004)
- Residency in Internal Medicine and specialization in Neurology
- Master's Degree in Neurophysiopathology - UNICAMP (2010)
- PhD in Neuropsychiatry - HCFMUSP (2018)
- Professional Master's in Mathematical Economics - FGV
- Ongoing PhD in Applied Mathematics - University of Porto
- Professional Master's in Human Genetics - TechTechnological Global (2024)
- Bachelor's Degrees in Mathematics, Statistics, and Computer Science
- Technical Qualification in Information Technology
Professional Certifications
- MIT Professional Certificate in Data Science and Business Analytics
- Wharton Business Analysis Certificate
- Oxford Applied AI Certificate
- Amazon Cloud Architect Solutions - Professional
- Google Cloud Professional Data Science Certificate
- Google Professional Machine Learning Certificate
- IBM Professional Data Topology Certificate
- IBM Machine Learning Professional Certificate
Professional Experience
Academic Positions
Professor and Head of the Neurology Department at the Faculty of Medicine of Jundiaí (2015-2022), a public institution, where lectures, classes, and seminars frequently integrated fundamental aspects of electromagnetic theory regarding the propagation of bioelectric signals and diagnostic imaging into the curriculum, thus enriching academic instruction and mentoring.
Clinical Practice
Dr. Montgomery maintains an active clinical practice that seamlessly integrates advanced computational methods with neurological diagnostics. With decades of clinical experience, he has developed particular expertise in the diagnosis and treatment of complex neurological conditions, especially those that manifest with both neurological and psychiatric symptoms.
Community Service
- Since March 2020, has provided voluntary and free care to COVID-19 patients for several weeks in the Aldeia de Carapicuíba Community, using innovative diagnostic software tools developed in collaboration with community stakeholders.
- Vice-President of the Brazilian representation of UNESCO Bioethics for the past 5 years, with active and proven work.
Research and Innovations
Major Achievement
Pioneer in the development of EEG-based diagnostic software that achieves 90% accuracy in identifying patients with ADHD and Borderline Personality Disorder - the first and only system of its kind in Brazil. This innovative technology combines advanced signal processing, machine learning, and clinical expertise to provide objective diagnostic markers for neuropsychiatric conditions.
Scientific Production
Author of more than 250 published articles, preprints, and research proposals covering various areas, including computational neuroscience, machine learning applications in medicine, topology, quantum mechanics, EEG signal processing, and mathematical modeling. Many of these works emphasize the role of electrical and electromagnetic phenomena in biological systems, thus bridging neuroscience and applied electromagnetism.
Editorial Work
As founding editor of Open Science journals (www.wiredneuroscience.uk and www.richardmurdochmontgomery.com), Dr. Montgomery has promoted a rigorous exchange of ideas spanning both the life sciences and the physical principles governing electromagnetic interactions.
Notable Research Contributions
- Development of a simplified Hamiltonian model of magnetic dynamos and Lorenz force interactions, an effort that directly applies principles of electromagnetism to better understand the dynamic interaction of magnetic fields in complex systems.
- Pioneering work in EEG-based diagnostic software achieving accuracy rates of approximately 90% or higher for conditions such as ADHD and Borderline Personality Disorder, employing sophisticated signal processing techniques based on electromagnetic theory.
Areas of Expertise
ADHD Expertise
Dr. Montgomery is an ADHD specialist with extensive experience and the only neurologist who helped develop the first biological marker for ADHD in Brazil. This innovative diagnostic test allows the identification of patients with ADHD with 97% accuracy and has received authorization from ANVISA. This work represents a significant advancement in the objective diagnosis of ADHD.
Neuropsychiatry
Specialized care for conditions that bridge neurology and psychiatry, including cognitive disorders, behavioral changes associated with neurological conditions, and psychiatric manifestations of neurological diseases.
Neurological Manifestations of Systemic Diseases
Assessment and treatment of neurological symptoms that occur in the context of systemic medical conditions, ensuring coordinated care with other medical specialists.
Care Philosophy
Comprehensive Assessment
A thorough assessment that considers all aspects of the patient's condition, including physical symptoms, cognitive function, emotional well-being, and impact on daily life. This comprehensive approach ensures that no aspect of the patient experience is neglected.
Evidence-Based Practice
Treatment recommendations grounded in the latest scientific evidence and clinical guidelines, while drawing on Dr. Montgomery's extensive clinical experience and judgment. This balanced approach ensures that patients receive care that is both scientifically sound and individually tailored.
Patient-Centered Care
Recognition that each patient is unique, with individual needs, preferences, and circumstances that must be considered in developing a treatment plan. Dr. Montgomery dedicates time to listening to his patients and understanding their goals and concerns.
Collaborative Approach
Partnership with patients, their families, and other healthcare professionals to ensure coordinated and comprehensive care. Dr. Montgomery believes that effective neurological care often requires a team approach, with the patient at the center of the team.
Personal Interests
Historical Research
A deep interest in the history of medicine, particularly the development of neurology and psychiatry as distinct yet interconnected disciplines. This historical perspective informs Dr. Montgomery's understanding of current medical practice and its evolution over time.
Cultural Heritage
A strong connection to his Scottish heritage and family history, which has shaped his values and worldview. Dr. Montgomery takes pride in his family's journey from the Isle of Lewis to Brazil, and the traditions that have been preserved through generations.
Animal Companionship
A special fondness for greyhounds and Norwegian cats, appreciating their distinctive characteristics and the companionship they provide. This interest reflects Dr. Montgomery's appreciation for the unique qualities of different breeds and species.
Multilingual Communication
Fluency in multiple languages, including English, Portuguese, and German, which allows Dr. Montgomery to connect with patients from diverse backgrounds and engage with international medical literature and research.
Professional Services
Clinical Consultations
Comprehensive neurological assessments and ongoing care for patients with a wide range of neurological conditions.
Diagnostic Services
Access to advanced diagnostic technologies and methodologies to provide accurate and comprehensive neurological assessments.
Manuscript Review
Specialized review of neuroscience manuscripts, utilizing cutting-edge artificial intelligence in combination with Dr. Montgomery's clinical expertise.
Selected Bibliography
Dr. Montgomery is the author of more than 250 published articles, preprints, and research proposals. Below is a selection of his most recent and relevant publications:
Recent Publications (2023-2025)
- Montgomery, R. M. (2025). Differential Entangled Topology: A Mathematical Model for Simulating the Dynamic Nature of Consciousness. Preprints. https://doi.org/10.20944/preprints202502.1036.v1
- Montgomery, R. M. (2025). Towards Precision Forensic Psychiatry: An Advanced Machine Learning EEG Model for High-Accuracy Borderline Personality Disorder Diagnosis. Preprints. https://doi.org/10.20944/preprints202502.0527.v1
- Montgomery, R. M. (2025). Evaluating Health Technologies in the Brazilian Public and Supplementary Health Systems: Policy, Economic, and Public Health Implications. Preprints. https://doi.org/10.20944/preprints202502.0657.v1
- Montgomery, R. M. (2025). Augmenting Forensic Science Through AI: The Next Leap in Multidisciplinary Approaches. Preprints. https://doi.org/10.20944/preprints202501.1951.v1
- Montgomery, R.M. (2025). Brazilien Geschichte - Einleitung. Book Chapter.
- Montgomery, Richard Murdoch. Digital Mental Health: Opportunities and Challenges in Clinical Practice (February 01, 2025). Available at SSRN: https://ssrn.com/abstract=5162125 or http://dx.doi.org/10.2139/ssrn.5162125
- Montgomery, R. M. (2024). Deep Learning for ADHD Diagnosis: Integrating Diverse EEG Biomarkers for Enhanced Predictive Accuracy. Preprints. https://doi.org/10.20944/preprints202407.2416.v1
- Montgomery, R. M. (2024). Epigenetics in Psychiatry: Implications for Genomics, Evolution, Inheritance Patterns, and Biomarker Development. doi: 10.20944/preprints202409.0418.v1.
- Montgomery, R. M. (2024). Evaluating EEG-Based Parameters for Bipolar Disorder Diagnosis Using a Synthetic Dataset. Preprints. https://doi.org/10.20944/preprints202407.0633.v1.
- Montgomery, R. M. (2024). Ergodic Behavior of Brain Waves: A Multidisciplinary Perspective. Preprints. https://doi.org/10.20944/preprints202407.0600.v1.
- Montgomery, R. M. (2024). The Cosmic Tapestry: A Comprehensive Study of Structure Formation. Preprints. https://doi.org/10.20944/preprints202412.2637.v1
- Montgomery, R. M. (2024). The Drastic Turn in Neurology: From Classical Disciplines to Neurogenetics. Preprints. https://doi.org/10.20944/preprints202409.0008.v1
- Montgomery, R. M. (2024). AI-Enabled Neural Stabilizer Devices: A Theoretical Novel Approach to Correcting Pathological Brain Waves in Neurological Disorders. Wiredneuroscience; Vol. 2 (2), 1-14. https://doi.org/10.62162/1061033
- Montgomery, R. M. (2024). A Comparative Analysis of Decision Trees, Neural Networks, and Bayesian Networks: Methodological Insights and Practical Applications in Machine Learning. Preprints. https://doi.org/10.20944/preprints202410.1491.v1.
- Montgomery, R. M. (2024). Exploring the Evolutionary Basis and Population Genetics of ADHD. Preprints. https://doi.org/10.20944/preprints202406.0251.v1.
- Montgomery, R. M. (2024). Navigating the Labyrinth of the Mind: Exploring Brain Models Through Complex Differential Equations. Preprints. https://doi.org/10.20944/preprints202406.0485.v1
- Montgomery, R. M. (2024). The Evolving Landscape of Computational Neuroscience: A Shift Towards Data-Driven and Integrative Approaches. Preprints. https://doi.org/10.20944/preprints202406.1203.v1
- Montgomery, R. M. (2024). Overview of Clustering Techniques: From k-Means to Spectral Methods. Preprints. https://doi.org/10.20944/preprints202410.1397.v1
- Montgomery, R. M. (2024). Enhancing Neuroprosthetic Control through AI-Powered Adaptive Learning: A Simulation Study. DOI: 10.62162/1000000. WiredNeuroscience, Vol 1, Issue 2.
- Montgomery, R. M. (2024). Applications of Random Matrix Theory in Neuroscience and Neural Network Analysis: Unraveling High-Dimensional Connectivity. DOI: 10.62162/WNSC10606312712241; WiredNeuroscience; Vol 1, Issue 5, (34-47).
- Montgomery, R. M. (2023). The Escalating Action Potential in Mania, Compulsivity, and Psychosis: A Neurophysiological Perspective. DOI: 10.13140/RG.2.2.28847.92321.
- Montgomery, R. M. (2023). Comparing EEG and fMRI in Psychiatry: A Comprehensive Guide to Their Strengths, Weaknesses, and Applications. DOI: 10.13140/RG.2.2.10144.56320.
Collaborative Works
- Montgomery, R. M., Gouvea, M. A. V. M. (2024). Impact of Chronic Stress on Physical and Mental Health: A Detailed Analysis. J Gene Engg Bio Res, 6(2), 01-07.
- Mongomery, R. M., Nakaguma, M. Y., Getulio, F. (2024). A Study on the Institutional Context and Dynamics Surrounding the Emergence of SARS-CoV-2. J biotech bioinform, 1(3), 01-11.
- Froyo, N.; Aprahamian I.; Montgomery, R. M. (2017). Anticoagulation in acute ischemic stroke: A systematic search. Rev. Assoc. Med. Bras. 63(1), Jan 2017. https://doi.org/10.1590/1806-9282.63.01.50.
For a complete bibliography of Dr. Montgomery's works, please contact his office.