Reviewer Spotlight: Dr. Feng Feng

The quality of eNeuro depends on the effort that is generously contributed by our reviewers, who lend their expertise and time helping to ensure we publish great science. This Reviewer Recognition series introduces the research of selected reviewers, as well as their strategies for approaching peer review of a paper. Dr. Feng Feng received his PhD in Electrical & Computer Engineering from University of Missouri-Columbia in 2019. His PhD was focused on computational neuroscience modeling and data analysis. He is currently a Postdoctoral Research Associate in the Zakharenko Lab at St. Jude Children’s Research Hospital, Developmental Neurobiology Department, Neural Circuits and Behavior Division focused on data analysis using machine learning techniques for brain calcium imaging data of mouse models of schizophrenia.

"I think eNeuro’s consultation review process is great. This process offers a platform where different reviewers can exchange their opinions on the manuscripts."

 

Feng Feng, PhD

Tell us about your work. 

My current research focuses on data analysis of calcium imaging data of mouse models of schizophrenia.

How did you become interested in this line of research?

My academic experience revolves around computational neuroscience and data mining during my doctorate studies. I am particularly enthusiastic about applying my knowledge to analyze in vivo data, with a special focus on addressing diseases.

What do you do when not in the lab?

I like watching TED talks and documentaries. I also enjoy music and movies, especially sci-fi movies.

What advice would you share with new reviewers?

First, get the big picture of the article, like the structure and flow, and then evaluate the research methodology and read thoroughly. I think in this way, the reviewing process can be more efficient.

What have you learned over the years that has made you an effective reviewer?

I think the most important thing is to choose manuscripts that can match with your own research experiences. This can make the review process much faster and more productive.

What is your experience as a reviewer with eNeuro's consultation review process?  

I think eNeuro’s consultation review process is great. This process offers a platform where different reviewers can exchange their opinions on the manuscripts.

You are a graduate of SfN’s Reviewer Mentor Program.  What did you learn during that mentored review that you find the most valuable in your work as a reviewer now? Would you recommend the program?  

Yes, I definitely recommend the program. I’ve learnt a lot from there. My mentor was really helpful and she guided me in every step when we were reviewing the sample manuscript.

Feng Feng, PhD

Postdoctoral Research Associate, Zakharenko Lab

St. Jude Children’s Research Hospital

Learn more:

Learn more about SfN's Reviewer Mentor Program.