# Berkeley’s Lin Lin Awarded 2017 SIAG/CSE Early Career Prize

February 24, 2017

Linda Vu, lvu@lbl.gov, +1 510.495.2402

Berkeley Lab’s Lin Lin was honored with a 2017 SIAM Activity Group on Computational Science and Engineering (SIAG/CSE) Early Career Prize yesterday at the 2017 SIAM CSE Conference in Atlanta, Georgia. Established in 2016, the honor is bestowed to one outstanding early career researcher that has made distinguished contributions to the field within seven years of receiving a Ph.D. This is the first year that the prize has been awarded.

Lin came to Berkeley Lab as a Luis W. Alvarez Fellow in Computing Sciences shortly after completing his Ph.D. in applied mathematics at Princeton University in 2011. Since then, he has published more than 40 papers in peer-reviewed applied mathematics, computer science, computational material science and chemistry journals.

Early in his Berkeley Lab career, Lin distinguished himself by serving as co-principle investigator on two Department of Energy Scientific Discovery Through Advanced Computing (SciDAC) partnership projects to develop new efficient algorithms for electronic structure calculations and ab initio molecular dynamics simulation to accelerate the analysis of materials for lithium-ion batteries, ions in solutions, surfaces and biological environments, as well as other energy applications.

In 2013, Lin was hired as a research scientist in the Computational Research Division (CRD’s) Scalable Solvers Group, and in 2014 he joined the University of California, Berkeley’s Mathematics department faculty as an assistant professor. Lin currently holds a joint appointment at Berkeley Lab and UC Berkeley. Lin is a co-investigator in the NSF SI2-SSI project “ELSI-Infrastructure for Scalable Electronic Structure Theory” to build common software infrastructure to accelerate a wide range of community electronic structure software packages. He was awarded the Alfred P. Sloan fellowship in 2015, and will receive the NSF CAREER award in 2017.

“Although Lin’s research is driven by computational material science and chemistry, the methodologies and techniques that he has developed, such as sparse matrix techniques, approximation theory, randomized algorithms, numerical PDE discretization and parallel computing, are applicable to a wide range of problems in computational science and engineering,” says Chao Yang, a senior scientist in Berkeley Lab’s Scalable Solvers Group.

“In my opinion, Lin is an extremely successful young researcher in computational science and engineering. He has the unique ability to bridge the gaps between applied math, computer science and domain sciences,” adds Yang, who nominated Lin for the award.

Lin Lin’s Homepage: https://math.berkeley.edu/~linlin/