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Usable Software Systems

Valerie Hendrix

Valerie Hendrix
Computer Systems Engineer
Phone: +1 510 495 2905

Val Hendrix is a Computer Systems Engineer with a Master's in Computer Science and 15+ years industry development experience. She came to the LBNL in 2010 and has worked on a range of projects with a focus towards solving complex and large-scale scientific computing problems. She has developed tools for satellite image processing on NERSC,  cloud data management infrastructure for scientific applications and deploying and configuring (High Energy Physics) data analysis cluster in the cloud.  Val's current work focuses on systems for preserving, expanding access to, and improving usability of critical data generated through DOE-sponsored research of terrestrial and subsurface ecosystems (ESS-DIVE, NGEE Tropics, Watershed Function SFA). 

Additionally, Val is accomplished in enterprise-level server-side programming and client-side scripting skills with a strong background in database concepts. Val has extensive experience with establishing sound software engineering and DevOps practices including managing development, deployment of releases and the test life cycle.

Journal Articles

C Varadharajan, AP Appling, B Arora, DS Christianson, VC Hendrix, V Kumar, AR Lima, J Müller, S Oliver, M Ombadi, T Perciano, JM Sadler, H Weierbach, JD Willard, Z Xu, J Zwart, "Can machine learning accelerate process understanding and decision-relevant predictions of river water quality?", Hydrological Processes, January 1, 2022, 36, doi: 10.1002/hyp.14565

C Varadharajan, S Cholia, C Snavely, V Hendrix, C Procopiou, D Swantek, W Riley, D Agarwal, "Launching an Accessible Archive of Environmental Data", Eos, January 1, 2019, 100, doi: 10.1029/2019eo111263

Danielle S. Christianson, Charuleka Varadharajan, Bradley Christoffersen, Matteo Detto, Faybishenko, Bruno O. Gimenez, Val C. Hendrix, Kolby J. Jardine, Robinson Negron-Juarez, Z. Pastorello, Thomas L. Powell, Megha Sandesh, Jeffrey M. Warren, Brett T. Wolfe, Jeffrey Q. Chambers, Lara M. Kueppers, Nathan G. McDowell, Deborah A. Agarwal, "A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations", Ecological Informatics, 2017, 42:148-158, doi: 10.1016/j.ecoinf.2017.06.002

GH Weber, MS Bandstra, DH Chivers, HH Elgammal, V Hendrix, J Kua, JS Maltz, K Muriki, Y Ong, K Song, MJ Quinlan, L Ramakrishnan, BJ Quiter, "Web-based visual data exploration for improved radiological source detection", Concurrency Computation, 2017, 29, doi: 10.1002/cpe.4203

D Ghoshal, V Hendrix, W Fox, S Balasubhramanian, L Ramakrishnan, "FRIEDA: Flexible Robust Intelligent Elastic Data Management Framework", The Journal of Open Source Software, 2017, 2:164--164, doi: 10.21105/joss.00164

M Verma, JB Fisher, K Mallick, Y Ryu, H Kobayashi, A Guillaume, G Moore, L Ramakrishnan, V Hendrix, S Wolf, M Sikka, G Kiely, G Wohlfahrt, B Gielen, O Roupsard, P Toscano, A Arain, A Cescatti, "Global surface net-radiation at 5 km from MODIS Terra", Remote Sensing, 2016, 8, doi: 10.3390/rs8090739

V Hendrix, L Ramakrishnan, Y Ryu, C Van Ingen, KR Jackson, D Agarwal, "CAMP: Community access MODIS pipeline", Future Generation Computer Systems, 2014, 36:418--429, doi: 10.1016/j.future.2013.09.023

S Panitkin, FB Megino, JC Bejar, D Benjamin, AD Girolamo, I Gable, V Hendrix, J Hover, K Kucharczyk, RM Llamas, P Love, H Ohman, M Paterson, R Sobie, R Taylor, R Walker, A Zaytsev, "ATLAS cloud R\&D", Journal of Physics: Conference Series, 2014, 513, doi: 10.1088/1742-6596/513/6/062037

H Öhman, S Panitkin, V Hendrix, "Using Puppet to contextualize computing resources for ATLAS analysis on Google compute engine", Journal of Physics: Conference Series, 2014, 513, doi: 10.1088/1742-6596/513/3/032073

F Harald Barreiro Megino, D Benjamin, K De, I Gable, V Hendrix, S Panitkin, M Paterson, A De Silva, D Van Der Ster, R Taylor, RA Vitillo, R Walker, "Exploiting virtualization and cloud computing in ATLAS", Journal of Physics: Conference Series, 2012, 396, doi: 10.1088/1742-6596/396/3/032011

V Hendrix, D Benjamin, Y Yao, "Scientific cluster deployment and recovery - Using puppet to simplify cluster management", Journal of Physics: Conference Series, 2012, 396, doi: 10.1088/1742-6596/396/4/042027

Conference Papers

EM Stewart, P Top, M Chertkov, D Deka, S Backhaus, A Lokhov, C Roberts, V Hendrix, S Peisert, A Florita, TJ King, MJ Reno, "Integrated multi-scale data analytics and machine learning for the distribution grid", 2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017, 2018, 2018-Jan:423--429, doi: 10.1109/SmartGridComm.2017.8340693

V Hendrix, J Fox, D Ghoshal, L Ramakrishnan, "Tigres Workflow Library: Supporting Scientific Pipelines on HPC Systems", Proceedings - 2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2016, 2016, 146--155, doi: 10.1109/CCGrid.2016.54

Lavanya Ramakrishnan, Sarah S. Poon, Val C. Hendrix, Dan K. Gunter, Gilberto Z. Pastorello, Deb A. Agarwal, "Experiences with User-Centered Design for the Tigres Workflow API", Proceedings of the 10th IEEE International Conference on e-Science (e-Science 2014), Guaruja, Brazil, 2014, doi: 10.1109/eScience.2014.56

JR Balderrama, M Simonin, L Ramakrishnan, V Hendrix, C Morin, D Agarwal, C Tedeschi, "Combining workflow templates with a shared space-based execution model", Proceedings of WORKS 2014: The 9th Workshop on Workflows in Support of Large-Scale Science - held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2014, 50--58, doi: 10.1109/WORKS.2014.14

T Samak, D Gunter, V Hendrix, "Scalable analysis of network measurements with Hadoop and Pig", Proceedings of the 2012 IEEE Network Operations and Management Symposium, NOMS 2012, 2012, 1254--1259, doi: 10.1109/NOMS.2012.6212060

Book Chapters

L Ramakrishnan, D Ghoshal, V Hendrix, E Feller, P Mantha, C Morin, "Storage and Data Life Cycle Management in Cloud Environments with FRIEDA.", Cloud Computing for Data-Intensive Applications, (Springer: 2014) Pages: 357--378


DA Agarwal, C Varadharajan, S Cholia, C Snavely, VC Hendrix, D Gunter, WJ Riley, M jones, AE budden, D Vieglas, Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE)-A New US DOE Data Archive, 2017,


E Stewart, V Hendrix, M Chertkov, D Deka, "Integrated Multi-Scale Data Analytics and Machine Learning for the Distribution Grid and Building-to-Grid Interface", 2017,

E. Masanet, A. Shehabi, L. Ramakrishnan, J. Liang, X. Ma, B. Walker, V. Hendrix, P Mantha, "The Energy Efficiency Potential of Cloud-Based Software: A U.S.Case Study", 2013, LBNL 6298E,


V Hendrix, J Li, K Jackson, L Ramakrishnan, Y Ryu, K Beattie, C Morin, D Skinner, C van Ingen, D Agarwal, "Community Access to MODIS Satellite Reprojection and Reduction Pipeline and Data Sets", AGU Fall Meeting, 2012,


MB Simmonds, WJ Riley, DA Agarwal, X Chen, S Cholia, R Crystal-Ornelas, ET Coon, D Dwivedi, VC Hendrix, M Huang, A Jan, Z Kakalia, J Kumar, CD Koven, L Li, M Melara, L Ramakrishnan, DM Ricciuto, AP Walker, W Zhi, Q Zhu, C Varadharajan, Guidelines for Publicly Archiving Terrestrial Model Data to Enhance Usability, Intercomparison, and Synthesis, Data Science Journal, 2022, doi: 10.5334/dsj-2022-003

C Varadharajan, VC Hendrix, DS Christianson, M Burrus, C Wong, SS Hubbard, DA Agarwal, BASIN-3D: A brokering framework to integrate diverse environmental data, Computers and Geosciences, 2022, doi: 10.1016/j.cageo.2021.105024

H Weierbach, AR Lima, JD Willard, VC Hendrix, DS Christianson, M Lubich, C Varadharajan, Stream Temperature Predictions for River Basin Management in the Pacific Northwest and Mid-Atlantic Regions Using Machine Learning, Water (Switzerland), 2022, doi: 10.3390/w14071032

C Varadharajan, Z Kakalia, E Alper, EL Brodie, M Burrus, RWH Carroll, D Christianson, W Dong, V Hendrix, M Henderson, S Hubbard, D Johnson, R Versteeg, KH Williams, DA Agarwal, The Colorado East River Community Observatory Data Collection, Hydrological Processes 35(6), 2021, doi: 10.22541/au.161962485.54378235/v1

R Crystal-Ornelas, C Varadharajan, B Bond-Lamberty, K Boye, M Burrus, S Cholia, M Crow, J Damerow, R Devarakonda, KS Ely, A Goldman, S Heinz, V Hendrix, Z Kakalia, SC Pennington, E Robles, A Rogers, M Simmonds, T Velliquette, H Weierbach, P Weisenhorn, JN Welch, DA Agarwal, A Guide to Using GitHub for Developing and Versioning Data Standards and Reporting Formats, Earth and Space Science, 2021, doi: 10.1029/2021EA001797

JE Damerow, C Varadharajan, K Boye, EL Brodie, M Burrus, KD Chadwick, R Crystal-Ornelas, H Elbashandy, RJ Eloy Alves, KS Ely, AE Goldman, T Haberman, V Hendrix, Z Kakalia, KM Kemner, AB Kersting, N Merino, F O Brien, Z Perzan, E Robles, P Sorensen, JC Stegen, RL Walls, P Weisenhorn, M Zavarin, D Agarwal, Sample identifiers and metadata to support data management and reuse in multidisciplinary ecosystem sciences, Data Science Journal, 2021, doi: 10.5334/dsj-2021-011

C Varadharajan, B Faybishenko, A Henderson, M Henderson, VC Hendrix, SS Hubbard, Z Kakalia, A Newman, B Potter, H Steltzer, R Versteeg, DA Agarwal, KH Williams, C Wilmer, Y Wu, W Brown, M Burrus, RWH Carroll, DS Christianson, B Dafflon, D Dwivedi, BJ Enquist, Challenges in Building an End-to-End System for Acquisition, Management, and Integration of Diverse Data from Sensor Networks in Watersheds: Lessons from a Mountainous Community Observatory in East River, Colorado, IEEE Access, Pages: 182796--18 2019, doi: 10.1109/ACCESS.2019.2957793