The Handy Lab

Broadly, my lab focuses on developing new mathematical techniques to be used with state-of-the-art experimental protocols in order to advance our understanding of biological systems, while advancing the field of applied mathematics. Specifically, we are exploring the ability of interneuron subpopulations (e.g., PV, SOM, VIP) and glial cells (e.g., astrocytes) to modulate the dynamics of cortical networks in different physiological contexts. 

**My lab is currently hiring!** 

With funding available for postdocs, graduate students and undergraduate students. 

Prospective postdocs: 

• To apply specifically to my lab, email me an updated CV/Resume.

• The Mathematics Department at UMN typically offers departmental postdoc positions, which are advertised on mathjobs.org. These positions allow for more flexibility with regard to research directions but come with a heavier teaching load. If you are interested in this position and your research leans toward mathematical biology, feel free to reach out to me.

Graduate students: 

• The first step is to apply to a graduate program at the University of Minnesota. Since my research is interdisciplinary, I am affiliated with programs across campus (Mathematics PhD Program, Biomedical Engineering PhD Program), so choose the program that you believe that is best aligned with your research and career interests.

  • During/after your application process, feel free to send me your CV and other application material (e.g., your personal statement). 

• Current funding in my lab is available for broad topics in theoretical neuroscience, but I'm open to advising projects applicable to the field of mathematical biology.

Undergraduate students: 

• If you are a current undergraduate student at UMN and interested in anything from a paid research opportunity to a low stakes reading course covering mathematical biology topics, feel free to reach out via email or in-person. Please attached your CV and an unofficial transcript.

• I'm also available to advise senior thesis projects, etc. of your choosing, if there is a broad overlap in the fields of mathematical biology, machine learning, or data science.