Liftoff: New lab alerts

Learn about early-career scientists starting their own labs.

Are you a new principal investigator? Email Francisco J. Rivera Rosario at [email protected]. Selected new labs may be featured in our Launch monthly newsletter.

February 2025

Ezgi Hacisuleyman, assistant professor, Scripps Institute for Biomedical Innovation and Technology, University of Florida
Lab start date: February 2024

What are your lab’s aims and major research questions? 

My lab focuses on uncovering how synapses—specifically those located far from the soma—respond to stimuli. To do that, we investigate activity-dependent synaptic RNA localization, translational control and metabolic regulation. By uncovering how these processes differ across cells, we aim to identify the unique molecular mechanisms that set neurons apart. I am particularly excited to expand on the tools I developed during my postdoc and to create new methodologies to investigate mitochondrial regulation at synapses in response to neuronal activity.

What is the best advice you’ve gotten from colleagues or mentors prior to opening your lab?

Keep your lab small and be on the bench all the time at the beginning. One of my postdoctoral mentors, Robert Darnell, emphasized this approach. It’s not just because your hands will likely be the best in the lab at that point, but also because working directly at the bench is vital for shaping a lab’s culture. It allows you to establish a collaborative and engaged environment while building meaningful interactions with your students and trainees. This has been working very well for me so far.

 

Aran Nayebi, assistant professor of machine learning, Carnegie Mellon University
Lab start date: September 2024

What do you study? What part of your research are you most excited about?

In my lab, we aim to uncover the fundamental principles of intelligence by reverse-engineering the brain’s computations and using those insights to build life-long learning agents. We ask: How do animals transform continuous sensory inputs into meaningful physical actions, and how can we translate that into better artificial intelligence? I’m excited about using neuroscience to push AI beyond static benchmarks—toward real-world, embodied intelligence. The idea that understanding the brain’s algorithms could unlock more autonomous and adaptive robots is what drives me.

What is the best advice you received from a mentor or colleague before opening your lab?

Don’t chase trends—work on the problems that truly excite you. It’s easy to get caught up in what’s hot in AI or neuroscience, but long-term impact comes from following deep, fundamental questions based on first principles, rather than current, short-term hype.

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