Mike Nalls
About Mike Nalls
Mike Nalls serves as Project Lead for Advanced Analytics at the Center for Alzheimer's and Related Dementias (CARD), where he designs and deploys scalable analytics systems. He has a diverse background in data management and bioinformatics, with previous roles at Temple University, the National Institutes of Health, and Neuron23.
Current Role at National Institutes of Health
Mike Nalls serves as Project Lead for Advanced Analytics at the Center for Alzheimer's and Related Dementias (CARD) within the National Institutes of Health (NIH). He has held this position since 2020, where he focuses on designing and deploying scalable advanced analytics systems. His work aims to enhance research efforts related to Alzheimer's and other neurodegenerative diseases.
Previous Experience at National Institutes of Health
Prior to his current role, Mike Nalls worked at the National Institutes of Health as the Lead of the Statistical Genetics Group from 2009 to 2020. In this capacity, he contributed to various projects involving statistical genetics, which supported research in understanding genetic factors related to health and disease.
Educational Background
Mike Nalls studied at Temple University, where he gained foundational knowledge in data management and analytics. He furthered his education at The George Washington University, enhancing his expertise in data science and bioinformatics, which supports his current work in advanced analytics.
Professional Contributions and Initiatives
Mike Nalls is involved in open science initiatives aimed at combating neurodegenerative diseases. His contributions extend to the development of large language models and bioinformatics systems. He has also engaged in projects focusing on automated multi-modal data harmonization and machine learning, which are essential for advancing research methodologies.
Leadership Roles and Consulting
In addition to his role at NIH, Mike Nalls is the CEO and Consultant at DataTecnica LLC, a position he has held since 2017. His work at DataTecnica focuses on FAIR data discovery and browsing, promoting accessibility and usability of data in scientific research. He also has experience as a Data Science Contractor at Kelly Services, where he worked in the Laboratory of Neurogenetics at NIA/NIH.