Partners

Mike Nalls, PhD

Mike founded Data Tecnica in early 2017 after over a decade of experience in large dataset analytics and methods research in healthcare and other scientific fields. 300+ peer-reviewed publications (before the age of 40) in the field of applied statistics in large datasets, brain diseases, and genomics. He is a strong advocate of open science, collaboration, and transparency in science. Connect with him on twitter and google scholar or linkedin.

Hirotaka Iwaki, MD, PhD

Hirotaka is a board-certified neurologist in Japan and holds a PhD in medical research. He also completed a Master of Public Health in the quantitative concentration at the Harvard School of Public Health. He has extensive experience in managing and analyzing massive datasets in the pharma, medical and academic space as a fellow with the Michael J. Fox Foundation. Connect with him on twitter and google scholar or linkedin.

Hampton Leonard, MS

Hampton is a graduate of the Data Science master's degree program at the University of Virginia. She has led biostatistics and machine learning hackathons and courses in genomics and brain diseases, focusing on inclusion and diversity. She primarily consults for the Laboratory of Neurogenetics at the National Institute on Aging, National Institutes of Health, where she analyzes biobank scale datasets and supports AMP-PD's infrastructure and codebase. Connect with her on twitter and google scholar or linkedin.

Faraz Faghri, PhD

Faraz Faghri received his BS in Applied Mathematics. His MS in Industrial Engineering and PhD in Computer Science from the University of Illinois at Urbana-Champaign. He also did a fellowship in Technology-based Healthcare at the Mayo Clinic. He focuses on open-source software development and its applications at the forefront of innovation in the tech and biotech industries. Connect with him on twitter and google scholar or linkedin.

Associates

Dan Vitale, MS

Data scientist and software engineer, you can find me on twitter and google scholar.

Kristin Levine, MS

Kristin Levine is a biomedical data scientist interested in modifiable risk factors for dementia. Prior to science, she was an award winning non-fiction writer.

Shannon Ballard, PhD

Data management, project management, application developer and overall FAIR data expert.

Michael Ta, MS

Longitudinal data analysis, tool developer and biomarker specialist.

Anant Dadu, MS

Computer scientist and machine learning researcher interesting in neurodegenerative disease subtyping.

Andy Henrie, PhD

Machine learning and open science researcher, interested in the intersection of multi-omics and imaging.

Syed Shah, PhD

Bioinformatics and app development specialist.

Chelsea Alvarado, MS

Chelsea’s research focuses on networks and functional inferences in target discovery and due diligence to help fight dementia.

Ziyi Li, PhD

Ziyi is a proteomics focused bioinformatics expert leading open source analytics in this space for NIH’s CARD.

Nicholas Johnson, BS

Nicolas is on his way to an MS in data science, with a strong background in bioinformatics and programming.