Brief bio
I am a postdoctoral research fellow at the Center for Cognitive and Brain Health at Northeastern University.
My current work is funded by the NIH NIA K00 Career Award. Previously, I was funded by ACM/Intel Corporation Computational and Data Sciences Fellowship and Google Scholarship.
In 2024, I received my Ph.D. in Personal Health Informatics from Northeastern University’s Khoury College of Computer Sciences and Bouvé College of Health Sciences. I also hold graduate degrees in Economics from Barcelona Graduate School of Economics and in Information Science from the University of Michigan.
Interests:
- Academically, I am interested in extending healthspan and amplifying cognition through technology-enabled interventions and scientific discovery. I specialize in mHealth technologies, passive sensing, and behavioral modeling. 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 to address challenges in health monitoring, cognitive aging, and physical activity, specifically for marginalized, underrepresented populations.
- When working with industry partners, I focus on applying methods from computational and behavioral sciences to provide interpretable and actionable insight into user behavior.
I welcome collaborations on meaningful projects and enjoys mentoring students. If you'd like to explore working together, please reach out to me.
Updates:
- August 2024: I am excited to teach DS2001: Data Science Programming Practicum this Fall! Learn Python, data science, and crucial problem-solving skills. 🚀 This class is a safe space for beginners. Mistakes are not only expected but cherished as they lead to insight and learning. 🚀 One section is full, but seats are still available for Thurs 5:15-6:55 PM (CRN: 14295). More information here.
- April 2024: I am on the job market now! I recently completed my doctoral studies and I am interested in industry (research scientist, data scientist) and academic positions (post-doc, assistant professor). Links to my resume and CV are here. I am also 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. For more information, visit: cognition.nu.
- May 2022: I completed my comprehensive exam and will be on the job market in 2024.
- March 2020: I joined the MOBS lab, where I contribute to the modeling of SARS-COV-2 / COVID-19 spread using large-scale mobility data.
Media coverage:
- April 2024: "Maciej Kos saw his grandmothers battle dementia. He believes phone data can help find it early."
- August 2017: "CCIS PhD Student Selected for ACM SIGHPC Data Science Fellowship"
Let's connect on LinkedIn.