About — Datatecnica

CURATE. ANALYZE. TRANSLATE. COMMUNICATE. INNOVATE.

From data science (machine learning, statistics, bioinformatics, and epidemiology) to computer science (distributed systems, high-performance computing, and human-computer interaction) to biology (genetics and multi-omics) and medicine (imaging, neurology and public health).

We build software tools and platforms optimized for our clients, accelerating their research across federal health, biotech and philanthropy.

We are a diverse team with integrative expertise from all the essential areas of data science and technology to advance healthcare.

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. 450+ peer-reviewed publications (H-index > 100) 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.

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. He leads our clinical data analytics efforts. 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 software development and its applications at the forefront of innovation in the tech and biotech industries, building scalable platforms to accelerate collaborative discoveries. Connect with him on twitter and google scholar or linkedin.

Associates

Dan Vitale, MS

Dan is a software engineer and developer who builds and maintains scalable cloud-based pipelines for genomics.

Kristin Levine, MS

Kristin Levine is a biomedical data analyst who uses biobank level data to identify modifiable risk factors for diseases across data silos.

Shannon Ballard, PhD

Shannon is a clinical data analyst and data manager interested in FAIR discoverable datasets in open science.

Michael Ta, MS

Michael is a biomedical data scientist and expert in time series data analysis and pipeline builds.

Anant Dadu, MS

Anant is a machine learning scientist who focuses on unsupervised learning to subtype diseases for better clinical trial design.

Andy Henrie, PhD

Andy leads large scale collaborative efforts in multi-modal data harmonization.

Syed Shah, PhD

Syed Shah is a bioinformatician and developer who helps build platforms to empower users who can't code themselves.

Sharoze Abbas, MS

Shahroze is a bioinformatics analyst specializing in scalable single cell and single nucleus pipeline development.

Maya Willey, MS

Maya is a bioinformatician interested in viral RNA and brain diseases.

Chelsea Alvarado, MS

Chelsea is a biomedical data science who leads analyses of drug target networks in a genomics context.

Benjamin Danek, MS

Ben is a machine learning scientist who uses federated learning to break down boundaries between data silos.

Alan Long, MS

Alan is a clinical data analyst focused on automated data harmonization and the curation of common data elements across studies.

Zhenbang Wu, MS

Zhenbang is a computer scientist interested in sparse imaging data and how this impacts biomedicine.

Ziyi Li, PhD

Ziyi is a bioinformatician and proteomics data specialist.

Gracelyn Hill, MS

Gracelyn is a biomedical data scientist who uses biobank scale data to identify pharmacogenetic interactions with modifiable risk factors.

Caroline Warly Solsberg, PhD

Caroline is a biomedical data scientists focused on Alzheimer's disease and genetics.

Nicholas Johnson, BS

Nicholas is a bioinformatician interested in disorders of the brain and aging on a genomics level.

Lietsel Jones, MS

Lietsel Jones is a clinical data analyst who is interested in leveraging large harmonized clinical datasets to assess global health disparities.

Cory Weller, PhD

Cory leads our bioinformatics efforts and builds reliable pipelines for the analysis and curation of genomics studies.