In today's episode, we interview Dr. Hao-Ting Wang. She is a Postdoc Fellow at University of Sussex and Brighton and Sussex Medical School. Originally from Taiwan, she completed her BSc in Psychology in National Chengchi University, and then a PhD in Cognitive Neuroscience at University of York, UK. Her work involves brain-behavioral phenotypes discovery using functional MRI in large open access datasets. Working with large neuroimaging datasets ignited her interests in computation reproducibility. She is an active contributor of Python libraries Nilearn, Nibabel and Pydra.

We discuss her career path and recent research, as well as how she gained her interest in machine learning throughout her research. We get an insight in her findings on what our brain does while our mind is wandering.

The main topic of today's episode is how to finance PhD studies, and the government loan that Hao-Ting used for this purpose. We also discuss the long-term implications of taking a loan for studies, and how this choice influenced the daily life and activities available to Hao-Ting.

Finally, we round off with our standard questions on boundary settings, day in the life, impact of COVID-19 and best advice.

References 

• Hao-Ting's github
• Hao-Ting's Twitter
• Hao-Ting's Google Scholar
• Python
• Bored and Brilliant 
• Default mode network 
• Task negative
• Brainhack collaborative
• ERC grants