Francisco J. Rivera Rosario edits scientist-written essays and develops new resources for the community. Before joining The Transmitter, he spent his career in science communications and health writing, including time working as an editor for a science communications agency and freelancing for TED Conferences and Health. Prior to moving into science communication, Francisco worked in a research lab, studying the genetic basis of rare forms of autism.
Francisco J. Rivera Rosario
Associate editor, opinion and community
The Transmitter
Education
- M.S. in biomedical sciences, Albert Einstein College of Medicine
- M.S. in molecular biotechnology, Interamerican University of Puerto Rico
- B.S. in natural sciences, University of Puerto Rico, Cayey
Explore more from The Transmitter
Spina bifida; MDMA effects in a mouse model of autism; maternal autoantibodies
Here is a roundup of autism-related news and research spotted around the web for the week of 13 May.
Spina bifida; MDMA effects in a mouse model of autism; maternal autoantibodies
Here is a roundup of autism-related news and research spotted around the web for the week of 13 May.
Autism research is becoming more diverse but not yet more global
Hosting the International Society for Autism Research annual meeting—which starts tomorrow—in Australia takes a step in that direction, making it easier for researchers, clinicians and advocates from the Western Pacific Region to participate.
Autism research is becoming more diverse but not yet more global
Hosting the International Society for Autism Research annual meeting—which starts tomorrow—in Australia takes a step in that direction, making it easier for researchers, clinicians and advocates from the Western Pacific Region to participate.
Should we use the computational or the network approach to analyze functional brain-imaging data—why not both?
Emerging methods make it possible to combine the two tactics from opposite ends of the analytic spectrum, enabling scientists to have their cake and eat it too.
Should we use the computational or the network approach to analyze functional brain-imaging data—why not both?
Emerging methods make it possible to combine the two tactics from opposite ends of the analytic spectrum, enabling scientists to have their cake and eat it too.