Research-Driven Leadership, Fueled by Passion

As a Neurobehavioral Analyst at the Child Mind Institute (2025-Present) and a neuroscience researcher with over five years of experience, I combine scientific rigor with passionate advocacy to drive meaningful change. I supervise fMRI datasets, develop automation scripts, ensure quality control, conduct biweekly assessments, and support sleep studies. Leveraging expertise in quantitative EEG analysis, cognitive assessment, and neurodiversity-focused research, I translate complex neurological findings into accessible, real-world applications. My interdisciplinary approach, integrating psychology and neuroscience, positions me to spearhead innovative research at the intersection of cognitive processing and neurodivergence.

My work has advanced understanding of sensory processing in autism spectrum conditions and developed teaching methodologies that support diverse learning styles. This commitment reflects my dedication to creating tangible benefits for neurodivergent communities and addressing critical accessibility needs in educational and clinical settings. I am a recipient of multiple scholarships from the National Leadership Consortium and was an Aspire Leader at the Aspire Institute, reflecting my continued commitment to leadership and community impact.

Education & Training

  • Montclair State (Fall 2022 - Spring 2025)
  • FSL Course, University of Oxford (2025)
  • Functional MRI Workshop, Martinos Center (2025)
  • Computational Neuroscience, Neuromatch Academy (2025)

Skills & Tools

  • Programming: Python, MATLAB, Bash scripting, SQL, RNN modeling
  • Neuroimaging: MNE-Python, EEGLAB/ERPLAB, BCILAB, FSL, AFNI, Nilearn, CPAC
  • Clinical Tools: ADOS, SRS, SSIS, ASD-ASC, D-KEFS, KBIT/KBIT-2

Professional Memberships & Certifications

  • AI and Tech Committee - ABCT
  • Student Member, Society for Neuroscience
  • New Jersey Neuropsychological Society
  • Certifications: fMRI Intensive Training (Martinos Center), FSL Course Oxford, Docker Captain, AI Community Ambassador
Download CV

Pillars of Neuroscience Innovation

Advanced Research & Analytics

Leveraging expertise in quantitative EEG analysis, cognitive assessment, and fMRI datasets, I apply scientific rigor to complex neurological data. Skills include Python, MATLAB, Bash, SQL, RNN modeling, MNE-Python, EEGLAB/ERPLAB, BCILAB, FSL, AFNI, Nilearn, CPAC.

Interdisciplinary Expertise & Leadership

My approach integrates psychology and neuroscience, fostering a holistic understanding of cognitive processing and neurodivergence. This includes roles as a Neurobehavioral Analyst at Child Mind Institute and Neuromarketing Consultant, supervising datasets and leading competitive teams.

Real-World Impact & Application

Translating complex neurological findings into accessible applications, driving meaningful change and benefiting neurodivergent communities, as demonstrated through publications, certifications (fMRI, FSL, Docker, AI Community Ambassador), and support for diverse learning styles.

Academic Foundations: Fueling Exploration and Impact

Psychology with a Neuroscience Focus

I completed a Bachelor of Arts in Psychology at Montclair State University (Fall 2022 - Spring 2025), graduating with highest honors (Summa Cum Laude) and an exceptional 3.94 GPA. My comprehensive coursework delved into critical areas of psychology, including advanced topics in cognitive science, neurobiology, and psychopathology, building a robust intellectual foundation that shaped my scientific curiosity.

During my undergraduate journey, I was awarded highly competitive fellowships with the esteemed Simons Foundation at the Princeton Neuroscience Institute and the Wilson Center, significantly accelerating my academic and research development. In 2025, I was honored as an Aspire Leader at the Aspire Institute, led the RAISE-25 AI Competition Undergraduate Team at Rutgers, and was a recipient of multiple scholarships from the National Leadership Consortium.

I also served as a Neuromarketing Consultant at the MSU Business School in 2025, applying neuroscience insights to marketing strategies.

Mastering EEG and ERP Research

The "Electric Brain" course provided intensive, practical training in EEG/ERP research methods, a cornerstone of cognitive neuroscience. I mastered essential skills in data processing, precise waveform analysis, proficiently administering EEG recordings, and generating sophisticated data visualizations using tools like MNE-Python, EEGLAB/ERPLAB, and BCILAB. This hands-on expertise proved critical for my subsequent research initiatives.

Certifications

While at Princeton, I achieved the Certified Professional in Accessibility Core Competencies (CPACC) designation. This certification empowers me to drive inclusive design practices, ensuring digital experiences are universally accessible and equitable for all users. I also hold certifications for fMRI Intensive Training from the Martinos Center, the FSL Course at Oxford University, and am recognized as a Docker Captain and AI Community Ambassador.

Advanced Graduate Studies

Critical Studies in Neurodiversity: I engaged in an intensive, two-semester graduate seminar focusing on groundbreaking autism research and academic discourse. As one of only five selected students, meeting twice weekly, I contributed to rigorous investigations and dynamic debates on current topics in neurodiversity education, deepening my understanding of this vital field.

Mathematics for Neuroscientists: To strengthen my quantitative capabilities for neuroscience research, I audited this advanced course at Princeton University during my fellowship. The curriculum provided a solid grasp of crucial mathematical concepts, including Linear Algebra, Differential Equations, and practical computational modeling—essential tools for advanced scientific inquiry, often using Python and MATLAB.

In 2025, I further expanded my expertise by completing the FSL course at the University of Oxford, attending the Functional MRI Workshop at the Martinos Center, and studying Computational Neuroscience at Neuromatch Academy. My current role as a Neurobehavioral Analyst at the Child Mind Institute (2025-Present) further builds on these foundations, involving direct supervision of fMRI datasets and automation scripts.

Research Experience: Cultivating Skills and Driving Contributions

Child Mind Institute: Neurobehavioral Analyst (2025-Present)

As a Neurobehavioral Analyst at the Child Mind Institute, I supervise fMRI datasets, develop automation scripts for data processing, and ensure rigorous quality control. My responsibilities also include conducting biweekly assessments and providing crucial support for sleep studies, directly contributing to cutting-edge research in child mental health.

MSU Business School: Neuro Marketing Consultant (2025)

As a Neuromarketing Consultant at the MSU Business School, I apply principles of neuroscience to understand consumer behavior, advising on strategic marketing approaches. My work involves analyzing market trends through a neuroscientific lens to optimize campaign effectiveness and product appeal.

Autism and Neurodevelopment Lab (Montclair State University)

As EEG and Data Management Team Lead at Montclair State University's Autism and Neurodevelopment Lab, I meticulously administered ERP CORE paradigms to children aged 6-18, collecting vital neural data. I became proficient in utilizing REDCap for streamlined participant tracking, Curry 7 for advanced neural data processing, and Presentation software for precise stimulus delivery. My strategic efforts established robust data acquisition protocols, significantly enhancing data integrity and research efficiency for critical autism studies. This work contributed to an upcoming journal article on genetic contributions to autism and an APA Convention 2025 poster presentation.

Engel Lab, Princeton Neuroscience Institute

During my prestigious fellowship at Princeton's Engel Lab, I delved into analyzing latent circuits within complex recurrent neural networks. Expertly leveraging advanced Python, I engineered and implemented sophisticated neural simulations, effectively bridging theoretical models with empirical data. My collaborative contributions were instrumental in strengthening the lab's computational neuroscience methodologies, leading to the generation of novel insights into fundamental neural processing mechanisms.

Kessler Institute and Foundation

At the Kessler Institute for Rehabilitation, I conducted rigorous medical imaging and electrophysiology research under the direct mentorship of Dr. Vikram Shenoy Handiru. My substantive contributions were integral to peer-reviewed publications and impactful conference presentations, significantly advancing the scientific understanding of neurological rehabilitation techniques. This invaluable clinical research experience not only refined my methodological precision but also deepened my appreciation for the direct translational applications of neuroscience in patient care.

Project AROS Lab

In the Project AROS Lab, I spearheaded the comprehensive development of an innovative Virtual Study Abroad program for Inkululeko, successfully creating accessible global education opportunities for students. Concurrently, I authored a critical analytical chapter dissecting democratic backsliding in Bangladesh. This involved applying rigorous political science methodologies to meticulously document governance transitions and identify institutional challenges within emerging democracies, contributing valuable insights to the field.

Neuroimaging Expertise: Exploring Neurodiversity

I leverage advanced neuroimaging techniques to explore neurodiversity, shaping my research journey with in-depth scientific inquiry and practical application.

EEG/ERP Analysis

Expertly administer electroencephalography (EEG) recordings and implement Event-Related Potential (ERP) CORE paradigms. Proficient in specialized neuroimaging tools such as MNE-Python, EEGLAB/ERPLAB, and BCILAB to ensure high-quality data acquisition, processing, and comprehensive analysis for neurodevelopmental and cognitive studies.

fMRI Data Management

Trained extensively in fMRI data processing, demonstrating precision in handling complex datasets and managing large datasets. Experienced in automating quality control processes through advanced scripting, applying knowledge from the FSL course at the University of Oxford and fMRI Intensive Training at Martinos Center (2025).

Computational Neuroimaging

Advanced proficiency in computational neuroimaging, integrating expertise from the Computational Neuroscience program at Neuromatch Academy (2025). Skilled in utilizing neuroimaging software such as FSL, AFNI, Nilearn, and CPAC for robust data analysis and generating novel insights into neural processing mechanisms.

1

Critical Studies in Neurodiversity: I participated in the highly selective "Critical Studies in Neurodiversity" graduate seminar, examining phenomenological autism research through a neurodiversity lens. This intensive, twice-weekly seminar with a five-student cohort provided profound insights into the lived experiences of individuals with autism, significantly deepening my understanding of neurodivergent perspectives.

2

Democratic Backsliding in Bangladesh: As a year-long fellow at the Wilson Center, Montclair State, I collaborated with a Bangladeshi colleague from Tokyo International University on a book chapter titled "Legal and Systemic Barriers to Progress in Bangladesh." The draft is complete, drawing insights from recent student protests, and is currently undergoing revisions for an upcoming publication.

3

Simons Foundation Undergraduate Symposium: I presented my innovative investigative research from my Princeton Neuroscience Institute fellowship at the recent Simons Foundation Undergraduate Symposium. My presentation detailed the complexities of recurrent neural networks and explored neural dynamics related to spatial neuron mapping in mouse models. The event was a highlight, fostering valuable interactions with program leads, mentors, and fellow scholars.

4

Conference Presentations: I have shared my expertise at numerous academic conferences, covering a broad range of topics. My presentations have explored the therapeutic benefits of martial arts for children with autism, advocated for neurodiversity in clinical practice, investigated the interplay between autism diagnosis and stigma in marginalized communities, and included a poster presentation at the APA Convention 2025. I also presented insights on international platforms, including the Bangladesh Student Protests.

5

Published Works: Beyond conference presentations, my academic contributions include authored chapters and journal articles. I have contributed to a new journal article on genetic contributions to autism. Additionally, the chapter critically evaluating the legal and institutional hurdles to justice in Bangladesh is currently in revision for an upcoming publication.

Leadership and Advocacy: Shaping the Future

Leadership & Achievement

Recipient of multiple scholarships at the National Leadership Consortium on Developmental Disabilities (University of Delaware), where I completed advanced training in disability services leadership, organizational transformation, and strategic systems change. Recognized as an Aspire Leader at Aspire Institute and served as an Undergraduate Team Leader for the RAISE-25 AI Competition at Rutgers.

IMAF & H Consulting Director

Founded and directed IMAF & H Consulting, a 501(c)(3) non-profit organization dedicated to developing innovative interventions and inclusion initiatives for individuals with autism spectrum disorder. Spearheaded ER2 program grant proposals and orchestrated impactful advocacy events and community fundraisers, fostering meaningful engagement and sustainable support networks.

Neurobehavioral Analyst

Currently serving as a Neurobehavioral Analyst at the Child Mind Institute (2025-Present), where I supervise fMRI datasets, develop automation scripts, conduct quality control, assist with biweekly assessments, and provide support for sleep studies. This role involves significant leadership in managing complex neuroimaging data and contributing to critical research.

Neuromarketing Consultant

Operating as a Neuromarketing Consultant at the MSU Business School (2025), I apply principles of neuroscience to understand consumer behavior and develop effective marketing strategies. This role demonstrates leadership in bridging scientific insight with business application.

Mentor Collective

Served as a mentor in the Mentor Collective for two years, nurturing the growth of over 12 students at Montclair State University across four semesters and two summers.

Beyond the Lab: A Passion for Teaching and Empowerment

Fight Choreography

Choreographed intricate, authentic fight sequences for major entertainment companies like Disney and Netflix, always prioritizing performer safety.

Actor Training

Trained actors in comprehensive martial arts, empowering them to embody characters with confidence and physical precision.

Weapon Handling

Instructed performers in safe and authentic weapon-handling techniques, ensuring compelling performance and paramount on-set safety.

Multi-Style Combat Design

Designed multi-style combat sequences as a fight consultant and movement specialist, integrating various martial arts tailored to production requirements.

Empower Teams: Drive Innovation and Collaboration with a Versatile Skillset

Neuroimaging Expertise

Proficient in EEG data acquisition and processing, with fMRI experience.
Tools: MNE-Python, EEGLAB/ERPLAB, BCILAB, FSL, AFNI, Nilearn, CPAC.
Actively expanding capabilities in advanced neuroimaging techniques, including supervising fMRI datasets and developing automation scripts for quality control and biweekly assessments.

Programming & Data Proficiency

Skilled in Python, MATLAB, Bash scripting, SQL, and RNN modeling. Specializing in advanced data exploration, visualization, and statistical analysis.

Research & Clinical Excellence

Adept in academic research methodology, teaching complex concepts, delivering training, and consulting. Expertise in biomechanics, computational data exploration, and neurophysiological assessment.
Clinical Tools: ADOS, SRS, SSIS, ASD-ASC, D-KEFS, KBIT/KBIT-2.

Technical Versatility & Certifications

Operates effectively across macOS, Windows 11, Linux distributions, and high-performance computing clusters using Slurm.
Certifications: fMRI Intensive Training (Martinos Center), FSL Course (Oxford), Docker Captain, AI Community Ambassador.

Key Projects & Technical Contributions

Explore highlights of my key projects and technical contributions, demonstrating a blend of neuroimaging, programming, and analytical skills.

Developed an adversarial Go Fish AI. This system employs a Monte Carlo decision process, simulating game states 500 times once 20 cards remain. A debug feature allows real-time visualization of AI rankings.

These two applications were developed to analyze calcium imaging data at the Princeton Neuroscience Institute. One predicts mouse actions based on neural activity, while the other examines neural correlations at specific moments. These tools were presented at the Simons Foundation Undergraduate Symposium.

Synapse Detective is a novel tool I developed for automated synapse detection, analysis, and visualization in electron microscopy data.

Colab

Neuron Decoder

Colab

Synapse Detective

Michael House - CV Highlights

Education

Bachelor of Arts in Psychology with minors in Neuroscience and Cognitive Science
Montclair State University (Fall 2022 - Spring 2025)
GPA: 3.94 | Dean's List | Summa Cum Laude

Select Courses:

  • FSL course – University of Oxford (2025)
  • Functional MRI Workshop Fall – Athinoula A. Martinos Center for Biomedical Imaging (2025)
  • Computational Neuroscience – Neuromatch Academy (2025)
  • The Electric Brain – Montclair State University (2024)
  • Critical Studies in Neurodiversity – Montclair State University (2024)
  • Neuromuscular and Electrophysiology Lab Fellowship – Kessler Institute (2023)

Honors & Awards

  • 2025: Aspire Leader, Aspire Institute, Aspire Leaders Program
  • 2025: Scholarship Recipient, National Leadership Consortium on Developmental Disabilities
  • 2024: SURFiN Fellow, Simon's Foundation SURFiN Fellowship in Neuroscience, Princeton Neuroscience Institute
  • 2024: Junior Research Fellow, Wilson Center Fellowship, Montclair State University
  • 2025: Undergraduate Team Leader, RAISE-25 AI Competition, Rutgers
  • 2024: Research Travel Award, Department Chair Travel Grant, Montclair State University
  • 2024: Policy Brief Winner, Research on Interdisciplinary Studies, RIGS, Montclair State University

Certifications

  • fMRI Intensive Training/The Martinos Center, Boston MA
  • FSL Course 2025, Oxford, UK
  • Computational Neuroscience/Neuromatch Academy, NY, USA
  • Python Associate Data Scientist, Datacamp
  • Docker Captain, Docker, San Francisco
  • AI Community Ambassador, BLACKBOX AI Mavericks
  • IBM AI Developer Specialization
  • Neuroscience and Neuroimaging Summer Program, Johns Hopkins University
  • Data Analytics Professional Specialization, Google
  • Google Cloud Digital Leader Specialization
  • Certificate in Eating Disorders, Rutgers School of Social Work
  • Developmental Disabilities, Rutgers School of Social Work

Skills

Programming: Python, MATLAB, Bash scripting, SQL, RNN modeling

Neuroimaging: MNE-Python, EEGLAB/ERPLAB, BCILAB, FSL, AFNI, Nilearn, CPAC

Clinical tools: ADOS, SRS, SSIS, ASD-ASC, D-KEFS, KBIT/KBIT-2



Research Positions

  • Neurobehavioral Analyst, Child Mind Institute (2025-Present)
  • Supervised fMRI datasets, automation scripts, and quality control.
  • Prepared and distributed biweekly internal data assessments to investigators.
  • Provided technical and physical support for fMRI sleep studies.
  • SURFiN Fellow | Research Assistant, Simons Foundation / Princeton Neuroscience Institute (2024-2025)
  • Investigated hidden circuit dynamics within recurrent neural networks.
  • Developed linear decoders, analysis workflows, and computational models.
  • Neuromarketing Consultant, MSU Business School (2025)
  • Provided expert guidance on EEG experiment design and laboratory configuration.
  • Set up EEG equipment and delivered training sessions on EEG data analysis.
  • Junior Researcher Fellow, Wilson Center Fellowship / Montclair State University (2024-2025)
  • Collaborated with University of Tokyo scholars on democracy research in Bangladesh.
  • Research Assistant, Kessler Foundation Research Internship (2024)
  • Contributed to neuromuscular control research, imaging, and Python development.
  • Research Assistant, Autism and Neurodevelopment Lab, Montclair State University (2023-2025)
  • Engaged in EEG sessions with children, applying ERP CORE paradigms.
  • Research Assistant, Project AROS Lab, Montclair State University (2023-2025)
  • Created digital curriculum for studying abroad with challenge-based learning framework.



Publications

  • Journal Articles & Book Chapters:
  • Abdullah, P. M. S., House, M. (2025). Legal and institutional barriers to justice and accountability. In Change and Justice in Bangladesh (Chapter 2).
  • House, M. (2024). Exploring Genetic Contributions to Autism from 2020 to 2024: A systematic review and meta-analysis. In Review
  • Conference Presentations (2025):
  • A review of genetic contributions to autism etiology, 2020–2024. APA Annual Convention.
  • Decoding Choice from Neural Dynamics in a Memory-Guided Task. Interdisciplinary School for Social Transformation.
  • The neural dynamics of neighboring cells. Simons Foundation Undergraduate Symposium.
  • Conference Presentations (2024):
  • Martial arts as a therapeutic modality for children with autism. ABCT 58th Annual Conference.
  • Multiple presentations at Montclair State University Research Symposium.



Professional Memberships

  • AI and Tech Committee Member, ABCT
  • Society For Neuroscience Student Member
  • New Jersey Neuropsychological Society
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