Jhan C. Salazar, PhD
@jhancsalazar.bsky.social
#Portejadeño, Cauca (🇨🇴) #Black, #Latino, and Proud ✊🏿 | Ph.D. - WashU | PostDoc at Mayo Clinic - Neurogenesis and Brain Tumors Lab | Brain cancer evolution | U. Icesi - Alma Mater
http://jhansalazar.weebly.com
http://jhansalazar.weebly.com
Overall, lizards and snakes have repeatedly adapted to colder environments as they colonized high elevations. (3/3).
Our chapter: doi.org/10.1007/978-...
Full book: link.springer.com/book/10.1007...
Our chapter: doi.org/10.1007/978-...
Full book: link.springer.com/book/10.1007...
Andean Herpetofauna
This book provides a comprehensive and up-to-date account of the Andean herpetofauna, combining qualitative and quantitative information and insights.
link.springer.com
November 27, 2025 at 11:24 PM
Overall, lizards and snakes have repeatedly adapted to colder environments as they colonized high elevations. (3/3).
Our chapter: doi.org/10.1007/978-...
Full book: link.springer.com/book/10.1007...
Our chapter: doi.org/10.1007/978-...
Full book: link.springer.com/book/10.1007...
We found that high-elevation species evolved faster in cold-tolerance traits, while heat-tolerance remained largely conserved. We also found repeated shifts between lowlands and mountains, with movements back to lowlands occurring even more often. (2/3)
November 27, 2025 at 11:24 PM
We found that high-elevation species evolved faster in cold-tolerance traits, while heat-tolerance remained largely conserved. We also found repeated shifts between lowlands and mountains, with movements back to lowlands occurring even more often. (2/3)
We explore how machine learning frameworks can be applied to address biological questions across diverse fields. We outline the foundations and recent applications of machine learning approaches and discuss their advantages and limitations in biological research.
November 15, 2025 at 3:16 AM
We explore how machine learning frameworks can be applied to address biological questions across diverse fields. We outline the foundations and recent applications of machine learning approaches and discuss their advantages and limitations in biological research.