Dr. Mellema is a current PANTHER research track resident with interests in timeseries modeling and analysis in perioperative and ICU settings. He completed his undergraduate work at the University of Washington and proceeded to pursue his combined MD-PhD at the University of Texas Southwestern Medical Center. His work there focused on causal modeling, neural connectivity analysis, and deep and machine learning to predict long-term neural prognosis. His current research interests include biophysical modeling, inter-signal connectivity and causal analysis, and prognostics of critical and perioperative disease with deep and machine learning.
- MD, University of Texas Southwestern Medical School
- PhD, Biomedical Engineering: Computational and Systems Biology, University of Texas Southwestern Graduate School
- BS, Physics: Biophysics, University of Washington
- BS, Neuroscience: Computational Neurobiology, University of Washington
- BA, Biochemistry, University of Washington
Education & Training
Mellema, Cooper & Nguyen, Kevin & Treacher, Alex & Andrade, Aixa & Pouratian, Nader & Sharma, Vibhash & O'Suileabhain, Padraig & Montillo, Albert. (2024). Longitudinal prognosis of Parkinson’s outcomes using causal connectivity. NeuroImage: Clinical
Mellema, Cooper & Montillo, Albert. (2023). Novel machine learning approaches for improving the reproducibility and reliability of functional and effective connectivity from functional MRI. Journal of Neural Engineering
Mellema, Cooper & Nguyen, Kevin & Treacher, Alex & Montillo, Albert. (2022). Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning. Scientific Reports
Nguyen, Kevin & Fatt, Cherise & Treacher, Alex & Mellema, Cooper & Cooper, Crystal & Jha, Manish & Kurian, Benji & Fava, Maurizio & McGrath, Patrick & Weissman, Myrna & Phillips, Mary & Trivedi, Madhukar & Montillo, Albert. (2021). Patterns of Pre-Treatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results from the EMBARC Randomized Clinical Trial.
Nguyen, Kevin & Raval, Vyom & Treacher, Alex & Mellema, Cooper & Yu, Fang & Pinho, Marco & Subramaniam, Rathan & Dewey, Jr, Richard & Montillo, Albert. (2021). Predicting Parkinson’s Disease Trajectory using Clinical and Neuroimaging Baseline Measures. Parkinsonism & Related Disorders