Kevin Mc Loughlin
About Kevin Mc Loughlin
Kevin McLoughlin is a computational biologist with extensive experience in software development for pathogen detection and genomics. He currently works at ATOM and Lawrence Livermore National Laboratory, leading a team focused on deep learning models for drug candidate evaluation.
Work at Lawrence Livermore National Laboratory
Kevin Mc Loughlin has worked at Lawrence Livermore National Laboratory as a Computational Biologist since 2004. His role involves applying computational techniques to biological research, contributing to advancements in the field. Mc Loughlin's work at the laboratory spans over 20 years, during which he has engaged in various projects that leverage computational biology to address complex scientific challenges.
Current Role at ATOM Consortium
Since 2017, Kevin Mc Loughlin has served as a Computational Biologist at ATOM | Accelerating Therapeutics for Opportunities in Medicine in San Francisco, CA. In this position, he leads a team focused on developing deep learning models aimed at predicting adverse effects of drug candidates. His expertise in computational biology supports the organization's mission to enhance drug discovery processes.
Education and Expertise
Kevin Mc Loughlin holds a Bachelor of Science (BS) in Physics from Caltech, which he completed from 1976 to 1980. He furthered his education at the University of California, Santa Cruz, earning a Master of Science (MS) in Physics from 1984 to 1987. Mc Loughlin then obtained a Doctor of Philosophy (Ph.D.) in Biostatistics from the University of California, Berkeley, from 2007 to 2013. His educational background provides a strong foundation for his work in computational biology and bioinformatics.
Professional Experience
Kevin Mc Loughlin has a diverse professional background in computational biology and related fields. He worked at Oracle as Principal Tech Staff from 1990 to 1998. He later served as Director of UI Development at Gene Logic from 1998 to 2003. Additionally, he worked as a Consultant at 10X Genomics from 2014 to 2015. His extensive experience includes developing software for pathogen detection, metagenomic profiling, and comparative genomics.
Publications and Research Contributions
Kevin Mc Loughlin has authored over 35 publications in the fields of computational biology and bioinformatics. His research contributions reflect his expertise and commitment to advancing knowledge in these areas. Mc Loughlin excels at exploratory research, assisting scientists in formulating relevant questions and designing experiments to achieve meaningful results.