Raga (Ph.d) K.
Principal Member of Technical Staff
Experience
Jun 2023 - Present
2 years 6 monthsPrincipal Member of Technical Staff
Sandia National Laboratories
- Lead multidisciplinary research initiatives in genomics, epigenomics, and computational biology, driving innovation at the intersection of biological science and advanced computation.
- Design and execute cutting-edge multi-omics data integration pipelines to uncover complex regulatory mechanisms of gene expression in biological systems.
- Develop and deploy machine learning models and trustworthy AI solutions for predictive biology, ensuring robust, ethical, and reproducible research outcomes.
- Utilize advanced bioinformatics tools and computational frameworks to analyze and interpret large-scale datasets, including next-generation sequencing, proteomics, and metabolomics.
- Collaborate with cross-functional teams, including biologists, data scientists, and engineers, to deliver impactful solutions addressing national security and biomedical challenges.
- Spearhead the development of high-performance computing workflows leveraging Linux environments, SunGrid Engine, and SLURM for scalable parallel computing.
- Mentor and guide early-career researchers and technical staff, fostering a culture of innovation, collaboration, and technical excellence.
- Author and publish high-impact scientific articles in peer-reviewed journals, presenting findings at national and international conferences.
- Oversee project lifecycles, from proposal development and funding acquisition to execution and delivery, ensuring alignment with organizational priorities and goals.
- Collaborate with stakeholders across government, academia, and industry to establish partnerships and advance scientific innovation.
Nov 2016 - Jun 2023
6 years 8 monthsSenior Member of Technical Staff
Sandia National Laboratories
Jun 2016 - Nov 2016
6 monthsPostdoctoral Appointee
Sandia National Laboratories
May 2010 - May 2016
6 years 1 monthPostdoctoral Fellow
University of California San Francisco
Summary
Accomplished computational and systems biologist with over 15 years of experience in integrating diverse data sets to predict organism behavior and engineer biological systems for optimal function. Expertise in analyzing complex biological systems, leveraging multi-omics data, and applying Al and machine learning to solve real-world problems. Proven ability to align research objectives with organizational goals in fast-paced, multi-disciplinary environments.
- Designed and led projects unravelling the molecular mechanisms in complex biological systems, achieving significant advancements in predictive biology.
- Directed multidisciplinary teams, delivering high-impact research projects and fostering collaborations across scientific, technical, and executive stakeholders.
- Engineered and validated computational workflows for multi-omics data analysis, enabling seamless integration and visualization of biological insights.
- Developed and implemented AI/ML-driven tools adhering to trustworthy Al principles, ensuring robust, reproducible, and ethical scientific applications.
- Championed innovation in biological data science, leveraging cutting-edge computational strategies to advance biomedical research and bioeconomic priorities.
Languages
English
NativeFrench
NativeTamil
NativeGerman
IntermediateHindi
Elementary ...and 1 more
Education
Oct 2004 - Jun 2010
Cornell University
Ph.D. · Biochemistry, Molecular and Cell Biology · Ithaca, United States
Oct 2001 - Jun 2004
University of Cambridge
B.A. (Honors) · Biochemistry · Cambridge, United Kingdom
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