Rocio Semino, a way with words

The good news is still fresh. In late December 2021, Rocio Semino learned that she had been awarded a grant from theEuropean Research Council (ERC). When the 37-year-old chemist recounts the months leading up to her selection, it becomes clear that she left nothing to chance.

Weeks of intense writing

The first step—writing her research proposal—wasn’t the hardest part. First of all, because Rocio Semino loves to write. Not just science, but literature as well. The connection between“Elucidation of the assembly mechanisms of metal-organic networks”—the title of her ERC grant—and poetry isn’t immediately obvious, but Rocio Semino confirms that her love of writing makes her work easier. Originally from Argentina, she also highlights the advantages of her international background.“Starting with the bachelor’s degree [which takes five years in Argentina] and continuing through the PhD, it is the student who writes their research proposal. My postdoc in France was my first experience working on a research project that I hadn’t written myself.”

With her ERC proposal already“fully formed ” in her mind, she set to work writing it. Weeks of intense writing followed, during which she worked“nonstop” and expressed her gratitude for the support of her colleagues at the Institut Charles Gerhardt Montpellier, the CNRS, andthe National Institute of Chemistry, as well as for the kindness and assistance of Marjo Michon at the DIPA. For the second stage, the oral defense, Rocio Semino was less in her element. She lost count of how many times she had rehearsed her presentation in front of colleagues. The challenge is to successfully answer the questions from the twelve jury members within the allotted fifteen minutes. “You have to give as many answers as possible, so they need to be short and very precise. But they also need to be understandable to jurors who aren’t all experts in my field.”

“This project brings together everything I’ve learned”

Over the next five years, Rocio Semino will therefore devote herself to her research on metal-organic frameworks (MOFs). These porous materials have numerous applications in strategic sectors: CO2 capture, energy storage, drug delivery systems… But while these materials hold great promise for industry, their synthesis still relies on numerous costly and time-consuming trial-and-error processes. This is where her research project comes in. Because the chemist doesn’t work in a lab—she works on a computer.“By elucidating assembly mechanisms through computer models, we can better understand how to synthesize a MOF,” explains Semino, who has been doing modeling since her undergraduate studies.

“This project brings together everything I’ve learned,”notes the researcher: molecular dynamics, which she studied in particular during her doctoral thesis, completed in 2014; in-depth methodological studies on modeling and machine learning during her postdoc in Lausanne in 2017–2018; and MOFs during her previous postdoc in Montpellier.“I change my research topics and methodsquite a bit,” notes Rocio Semino as she recounts her career path. This is less an apology for inconsistency than an expression of her desire to explore. Time has proven her right, as one of the ERC jury’s comments highlighted her ideal profile for covering all aspects of her project.

Inspiring young female researchers

The ERC also marks a turning point in her career. The major change is that she will be leading a team of six people—doctoral students and postdocs—whom she will recruit to carry out this project. She hopes to build a team with equal representation of men and women, driven by a desire to inspire young female researchers, just as the all-too-rare ones she encountered during her studies inspired her.

While waiting for her program to get underway by the end of the year, Rocio Semino is writing. Not poetry, but all the paperwork needed to launch her research. To name just one example: a request for computing time from major French and European supercomputing centers, the only facilities with the computing power required for her upcoming modeling work.