Hello!
My name is Maciej Kos.
My research is driven by the goal of
I am a Postdoctoral Research Fellow at the Center for Cognitive and Brain Health at Northeastern University.
Funding
- Currently, I am funded by the NIH NIA K00 Career Award.
- Previously, I was funded by:
- ACM/Intel Corporation Computational and Data Sciences Fellowship
- Google Scholarship
Education
- Ph.D. in Personal Health Informatics, Khoury College of Computer Sciences and Bouvé College of Health Sciences, Northeastern University
- MA in Information Science, University of Michigan
- MS in Economics of Science and Innovation, Barcelona School of Economics
Research Interests
Building on my background in computer science, behavioral economics, and information science, I combine data-driven and statistical approaches with computational mechanistic modeling and decision-making frameworks. I apply this integrated approach to address challenges in health monitoring, mitigating cognitive aging, and enhancing lifestyle-based interventions across populations through advancing digital and personal health research. I specialize in:
- mHealth technologies
- Passive sensing
- Behavioral modeling and interventions
- Data sciences
When working with industry partners, I focus on applying methods from computational and behavioral sciences to provide interpretable and actionable insight into user behavior.
Teaching and Mentoring
I regularly teach and mentor students, finding great satisfaction in helping them develop their programming and analytical skills. If you'd like to explore working together, please reach out to me.
Research Partners
- Precision Brain Health Initiative, Boston University
- Laboratory for the Scientific Study of Dance, Northeastern University
- Brain Stimulation & Simulation Lab, University of Massachusetts Boston
Get in Touch
I'd be delighted to hear from you if you're interested in discussing potential collaborations, exploring shared research interests, or connecting professionally.
- My latest academic CV is available here (PDF).
- For industry-specific experiences, please see my resume.
- Let's connect on LinkedIn.
Updates
- August 2024: Teaching DS2001: Data Science Programming Practicum. Learn Python, data science, and essential problem-solving skills in a supportive environment. Mistakes are celebrated as stepping stones to learning. Seats remain for Thurs 5:15–6:55 PM (CRN: 14295). More info here.
- April 2024: I recently completed my Ph.D. and am currently exploring opportunities in academia (post-doc, assistant professor) and industry (research scientist, data scientist). Links to my resume and CV. Connect with me on LinkedIn.
- August 2022: I am looking for volunteers with experience in Python or Kotlin to join my team in developing digital biomarkers of cognitive health using smartphone data. If you are interested in gaining hands-on experience in data science, ML and software engineering, please contact me via LinkedIn or email. We are a 100% remote team.
- July 2022: Do you live in the greater Boston area and are aged 45–65? If yes, consider enrolling in my paid research project ($500) focused on monitoring changes in memory and attention.
- May 2022: I completed my comprehensive exam and will be on the job market in 2024.
- March 2020: I joined the MOBS lab, contributing to COVID-19 spread modeling using large-scale mobility data.