Juan Marulanda Arias
Computational Scientist / CS-DSSI Team Coordinator, Data Science & System Integration - Data Engineering, National Synchrotron Light Source II
Brookhaven National Laboratory
National Synchrotron Light Source II
Bldg. 741, Room 1L159
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-2337
jmaruland@bnl.gov
Pronouns: he, him, his
Dr. Marulanda joined BNL and NSLS-II as a postdoc in June 2021 as part of a multidisciplinary project using AI for multimodal analysis of XAS data that involved beamlines from 3 different synchrotrons of 3 National Labs. In November 2022, he joined NSLS-II as a full-time research staff where he has been a member of the Data Engineering (DE) group within the Data Science and Systems Integration (DSSI) Division. Later on, in May 2024, he took the additional role of DSSI Team Coordinator for the Complex Scattering (CS) program where he manages the effort and work of a group of 6 DSSI member to maintaining and supporting the Controls, DAQ, IT and Data infrastructure of 5 beamlines.
Dr. Marulanda is active developer and contributor to open-source projects for data access (Tiled) and for scientific experiment orchestration (Bluesky) which are scientific software tools that were developed initially at NSLS-II and now are part of a much larger community and they are used in other facilities around the world.
Dr. Marulanda has a lot of experience working in interdisciplinary projects prior and since the start of his appointment at BNL. Before BNL, he was part of a research team at the University of Idaho and under the supervision of the Office of Naval Research in charge of developing a fleet of Autonomous Underwater Vehicles for Oceanic Research. During his appointment at BNL, Dr. Marulanda joined the Co-Design Center for Quantum Advantage (C2QA) where he worked closely with other Research Scientists in Quantum Computing research.
Expertise | Research | Education | Publications | Highlights | Certifications
Expertise
- Artificial Intelligence
- Machine Learning
- Robotics
- Data Management & Data Science
- Quantum Computing
Research Activities
- Artificial Intelligence for Multimodal Analysis on XAS
- Data Science for Quantum Research for C2QA
- Cross-talk noise analysis and detection using AI/ML
Education
- Ph.D. in Computer Science, University of Idaho. Moscow, ID (2020)
- M.Sc. in Computer Science, University of Idaho. Moscow, ID (2013)
- B.S. in Electronics Engineering, Universidad del Valle. Cali, Colombia (2009)
Selected Publications
- Chen Y, Chen C, Hwang I, et al (2024) Robust Machine Learning Inference from X-ray Absorption Near Edge Spectra through Featurization. Chemistry of Materials 36:2304–2313. https://doi.org/10.1021/acs.chemmater.3c02584
- Marulanda JF, Edwards DB, Heckendorn RB, Soule T (2018) Learned Anticipation Strategy on Complex Behaviors and as an Approach to Generalization Behavior for the Coordination of an AUV Fleet. OCEANS 2018 MTS/IEEE Charleston 1–9. https://doi.org/10.1109/oceans.2018.8604686
- Gill B, Arias JFM, Edwards D, Soule T (2013) Natural language-based correction method for autonomous underwater vehicle communications. 2013 OCEANS - San Diego 1–10. https://doi.org/10.23919/oceans.2013.6741235
- Marulanda J, Alfonso W, Caicedo E (2013) Competitive multi-swarm system in adaptive resource allocation for a multi-process system. Revista Facultad de Ingeniería Universidad de Antioquia 168–180. https://doi.org/10.17533/udea.redin.15233
Research Highlights
News @ NSLS-II | Revolutionizing Data Access Through Tiled
Certifications
- Prefect Associate Certification, February 2023
Brookhaven National Laboratory
National Synchrotron Light Source II
Bldg. 741, Room 1L159
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-2337
jmaruland@bnl.gov
