Brandon Hager Email & Phone Number

Cambridge, Massachusetts, United States

Developed and Deployed PyTorch Models: Spearheaded the development of a classification model using PyTorch to predict participant workload from fNIRS and EEG data. Prepared and augmented data with open-access datasets and a variety of techniques, such as random cropping, scaling, rotation, additive noise, and signal shifting. Tuned hyperparameters for optimal performance, resulting in successful deployment for predicting workload on different tasks like the Multi-Attribute Task Battery (MATB).Implemented Transfer Learning: Validated the model's performance on various tasks using transfer learning techniques, contributing to the refinement and accuracy of participant workload predictions.Advanced Neuroimaging Techniques: Innovated a Graph NN model in PyTorch to predict task activation at the voxel-level. This model aimed to perform individualized Connectome Fingerprinting on fMRI data, improving surgical precision in cancer patients.Collaborated with Multidisciplinary Teams: Worked effectively with diverse teams to develop solutions and grow business with government research organizations, enhancing the company's reach and impact.Communicated Research Findings: Shared research and development results with a variety of audiences, including academic peers and potential funders, strengthening the company's reputation in the field.

Waltham, Ma

Implemented Q-learning Techniques: Applied Q-learning strategies to create an autonomous agent capable of assessing neurophysiological responses during Rock-paper-scissors games, pushing the boundaries of autonomous agent capabilities within the field.Utilized Supervised and Unsupervised Learning Approaches: Leveraged both supervised and unsupervised statistical learning approaches to analyze behavioral and neurophysiological data. These techniques were used to test a hypothesized mechanism of action processing, providing insights into complex neurophysiological patterns and behaviors.Mentored Undergraduate Students: Provided annual mentorship to 1-2 undergraduate students in EEG and neuroimaging analyses. This mentorship role further enhanced the understanding of these students in complex neuroscientific methodologies.

Greater Boston Area

Managed Pre-Clinical Imaging Studies: Supervised the organization and reporting of 5-10 pre-clinical imaging studies within the Contract Research department, ensuring timely and efficient execution of the projects.Oversaw Data Acquisition: Organized and controlled data acquisition using PET, SPECT, and MRI imaging, a critical part of the overall study progression.Prepared Scientific Presentations: Utilized acquired data to prepare scientific presentations and interpret results of drug studies, contributing significantly to study results reporting.Delivered Reports to Clients: Successfully communicated the outcomes of drug studies to pharmaceutical clients, providing clear and detailed reports that supported their decision-making processes.

Boston, Massachusetts, United States

Developed Neurobiological Models: Assisted in developing neurobiological models of psychotic disorders and implementing early interventions with biopsychosocial treatment strategies, contributing to understanding and addressing severe mental health conditions.Maintained Computing Infrastructure: Managed computing resources and infrastructure crucial to neuroimaging data storage and analysis, ensuring the smooth functioning of technical operations within the lab.Managed Neuroimaging Data: Led all functional and structural neuroimaging data processing and statistical analysis for four multi-site clinical studies, delivering reliable insights from comprehensive datasets.Established MRI Editing Pipeline: Successfully established a structural MRI editing pipeline that significantly improved efficiency and ensured timely completion of analysis for over 500 participants, meeting the timelines set by the NIMH.Utilized Multiscale Entropy: Applied multiscale entropy on patients with psychosis, revealing fMRI complexity as a potential translational biomarker of psychosis.

Boston, Massachusetts, United States

Spearheaded Research Study: Led a research study using cognitive enhancement therapy to improve cognitive function in psychotic patients, using structural and functional brain analysis.Secured Funding: Played a key role in securing multimillion-dollar funding through effective grant writing, applications, and communication with grant officials.Administered Behavioral Assessments: Administered, scored, and produced reports on over 150 behavioral quantitative assessments (EEG, eye-tracking, neurocognitive testing, and MRI), providing consistent monitoring of patients over an 18-month treatment period.

Doctor Of Philosophy (Phd), Cognitive Neuroscience

Relevant Courses: Computational Neuroscience, Systems Neuroscience, Algorithms and Data Structures, Numerical Methods for Scientific.

Master Of Science - Ms, Neuroscience

Master Of Arts (M.A.), Developmental Psychology

Bachelor Of Arts - Ba, Psychology