Kerstin Kleese van Dam

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725, Room 2-127B
P.O. Box 5000
Upton, NY 11973-5000

(631) 344-6019
kleese@bnl.gov

Expertise | Research | Education | Appointments | Publications | Highlights | Awards

Expertise

• High Performance Computing
• Metadata, Provenance, Reproducibility, Data Curation
• Data Analysis
• Exascale Performance Analysis 
• Data and Computing Infrastructure
• Project and Program Management

Research Activities

Her primary research interests are in the areas of scientific data management, curation, and exploitation using metadata and semantic technologies. 

Education

B.S. and M.S. in Computer Science, Technical University, Berlin, Germany

Professional Appointments

• 2015-Present Director, Computational Science Initiative, Brookhaven National Laboratory (Upton, NY)
• 2009-2015 Associate Division Director and Group Leader Scientific Data Management, Pacific Northwest National Laboratory (Richland, WA)
• 2009 Director Computing, Biomedical Sciences Faculty, University College London (UK)
• 2001-2008 Group Leader, Scientific Data Management Group, Science and Technology Facilities Council (UK)
• 1997-2001 Senior Research Scientist, High Performance Computing, Science and Technology Facilities Council (UK)
• 1994-1997 Software Developer, German Climate Computing Centre (DKRZ) (Germany)
• 1989-1994 Software Developer/System Administration (HPC), INPRO (Germany

Selected Publications

• Foster I, Ainsworth M, Bessac J, Cappello F, Choi J, Di S, Di Z, Gok AM, Guo H, Huck KA, Kelly C, Klasky S, Kleese van Dam K, Liang X, Mehta K, Parashar M, Peterka T, Pouchard L, Shu T, Tugluk O, van Dam H, Wan L, Wolf M, Wozniak JM, Xu W, Yakushin I, Yoo S, Munson T (2021) Online data analysis and reduction: An important Co-design motif for extreme-scale computers. The International Journal of High Performance Computing Applications 109434202110235. doi: 10.1177/10943420211023549
• Kelly C, Ha S, Huck K, Van Dam H, Pouchard L, Matyasfalvi G, Tang L, D'Imperio N, Xu W, Yoo S, Van Dam KK (2020) Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization. doi: 10.1145/3426462.3426465
• Kalinin SV, Foster I, Kalidindi S, Kalinin SV, Lookman T, van Dam KK, Yager KG, Campbell SI, Farnsworth R, van Dam M Handbook on Big Data and Machine Learning in the Physical Sciences. doi: 10.1142/11389
• Author NG (2020) From Long-distance Entanglement to Building a Nationwide Quantum Internet: Report of the DOE Quantum Internet Blueprint Workshop. doi: 10.2172/1638794
• Pouchard L, Kleese van Dam K, Campbell SI (2019) Experimental Data Curation at Large Instrument Facilities with Open Source Software. International Journal of Digital Curation 14:114–125. doi: 10.2218/ijdc.v14i1.637
• Pouchard L, Baldwin S, Elsethagen T, Jha S, Raju B, Stephan E, Tang L, Van Dam KK (2019) Computational reproducibility of scientific workflows at extreme scales. The International Journal of High Performance Computing Applications 33:763–776. doi: 10.1177/1094342019839124
• Zhong W, Xu W, Yager KG, Doerk GS, Zhao J, Tian Y, Ha S, Xie C, Zhong Y, Mueller K, Van Dam KK (2018) MultiSciView: Multivariate Scientific X-ray Image Visual Exploration with Cross-Data Space Views. Visual Informatics 2:14–25. doi: 10.1016/j.visinf.2018.04.003
• Xie C, Xu W, Ha S, Huck K, Shende S, Van Dam H, Van Dam KK, Mueller K (2018) Performance Visualization for TAU Instrumented Scientific Workflows. Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. doi: 10.5220/0006646803330340
• Deelman E, Peterka T, Altintas I, Carothers CD, van Dam KK, Moreland K, Parashar M, Ramakrishnan L, Taufer M, Vetter J (2017) The future of scientific workflows. The International Journal of High Performance Computing Applications 32:159–175. doi: 10.1177/1094342017704893
• Foster I, Ainsworth M, Allen B, Bessac J, Cappello F, Choi JY, Constantinescu E, Davis PE, Di S, Di W, Guo H, Klasky S, Van Dam KK, Kurc T, Liu Q, Malik A, Mehta K, Mueller K, Munson T, Ostouchov G, Parashar M, Peterka T, Pouchard L, Tao D, Tugluk O, Wild S, Wolf M, Wozniak JM, Xu W, Yoo S (2017) Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 2017: Parallel Processing 3–19. doi: 10.1007/978-3-319-64203-1_1
• Pouchard L, Malik A, Dam HV, Xie C, Xu W, Van Dam KK (2017) Capturing provenance as a diagnostic tool for workflow performance evaluation and optimization. 2017 New York Scientific Data Summit (NYSDS). doi: 10.1109/nysds.2017.8085043
• Bethel EW, Greenwald M, van Dam KK, Parashar M, Wild SM, Wiley HS (2016) Management, analysis, and visualization of experimental and observational data — The convergence of data and computing. 2016 IEEE 12th International Conference on e-Science (e-Science). doi: 10.1109/escience.2016.7870902
• Katramatos D, Yue M, Yoo S, van Dam KK, Xu J, Zhang J (2016) Streaming data analysis on the wire. 2016 New York Scientific Data Summit (NYSDS). doi: 10.1109/nysds.2016.7747816
• Elsethagen T, Stephan E, Raju B, Schram M, MacDuff M, Kerbyson D, van Dam KK, Singh A, Altintas I (2016) Data provenance hybridization supporting extreme-scale scientific workflow applications. 2016 New York Scientific Data Summit (NYSDS). doi: 10.1109/nysds.2016.7747819
• Critchlow T, van Dam KK (2016) Data-Intensive Science. doi: 10.1201/b14935
• Kraucunas I, Clarke L, Dirks J, Hathaway J, Hejazi M, Hibbard K, Huang M, Jin C, Kintner-Meyer M, van Dam KK, Leung R, Li H-Y, Moss R, Peterson M, Rice J, Scott M, Thomson A, Voisin N, West T (2014) Investigating the nexus of climate, energy, water, and land at decision-relevant scales: the Platform for Regional Integrated Modeling and Analysis (PRIMA). Climatic Change 129:573–588. doi: 10.1007/s10584-014-1064-9
• Thomas M, Kleese-van Dam K, Marshall MJ, Kuprat A, Carson J, Lansing C, Guillen Z, Miller E, Lanekoff I, Laskin J (2015) Towards Adaptive, Streaming Analysis of X-ray Tomography Data. Synchrotron Radiation News 28:10–14. doi: 10.1080/08940886.2015.1013414
• Hafen R, Gosink L, McDermott J, Rodland K, Dam KK-V, Cleveland WS (2013) Trelliscope: A system for detailed visualization in the deep analysis of large complex data. 2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV). doi: 10.1109/ldav.2013.6675164
• Thomas M, Heath BS, Laskin J, Dongsheng Li, Liu E, Hui K, Kuprat AP, Kleese van Dam K, Carson JP (2012) Visualization of high resolution spatial mass spectrometric data during acquisition. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. doi: 10.1109/embc.2012.6347250
• Matthews B, Sufi S, Flannery D, Lerusse L, Griffin T, Gleaves M, Kleese K (2010) Using a Core Scientific Metadata Model in Large-Scale Facilities. International Journal of Digital Curation 5:106–118. doi: 10.2218/ijdc.v5i1.146
• Flannery D, Matthews B, Griffin T, Bicarregui J, Gleaves M, Lerusse L, Downing R, Ashton A, Sufi S, Drinkwater G, Kleese K (2009) ICAT: Integrating Data Infrastructure for Facilities Based Science. 2009 Fifth IEEE International Conference on e-Science. doi: 10.1109/e-science.2009.36

Research Highlights

• Chimbuko - first real time performance analysis tool for workflows at exascale
• Analysis on the Wire - real time analysis of data as it flows through the network
• Analysis in Motion - real time analysis for experimental facilities and large scale computational codes
• ICAT - Metadata catalogue for experimental facilities
• CSMD - Core Scientific Metadata Model for experimental facilities
• HOPE & GESIMA - First parallel versions of HOPE ocean model and GESIMA mesoscale atmospheric model
• NETTI - Automated 2D free form meshgenerator for finite element simulation of sheet metals (automotive industry - sheet metal forming process)

Awards & Recognition

2018 Woman of the Year Award in Science winner Brookhaven Town

2006 British Female Innovators and Inventors Silver Award