How I Became a Machine Learning + Neuroscience Researcher

The speaker shares their journey to becoming a researcher, starting from high school through various research experiences at institutions like Columbia, Cornell, and Stanford. They discuss their projects in environmental engineering, biomaterials, and machine learning, highlighting the skills and insights gained. The speaker reflects on their career decisions, including a pivotal internship at Novartis, and their current PhD work in neuroscience. They emphasize the importance of adaptability and learning from diverse experiences in shaping their research path.

What was the speaker's experience with machine learning during their research?

How did the speaker's background in computer science help them in their research?

What was the focus of the speaker's thesis work for their PhD?

In what ways did the speaker's research journey differ from their initial expectations?