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Bin Dong Email & Phone Number

Big Data + HPC + NoAI (Not Only AI); Book Author; GSoC'23 Mentor, Tech committee in SC, SSDBM, etc. at Berkeley Lab
Location: San Francisco Bay Area, United States, United States 6 work roles 2 schools
1 work email found @lbl.gov LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Current company
Berkeley Lab
Role
Big Data + HPC + NoAI (Not Only AI); Book Author; GSoC'23 Mentor, Tech committee in SC, SSDBM, etc.
Location
San Francisco Bay Area, United States, United States

Who is Bin Dong? Overview

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Bin Dong is listed as Big Data + HPC + NoAI (Not Only AI); Book Author; GSoC'23 Mentor, Tech committee in SC, SSDBM, etc. at Berkeley Lab, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at lbl.gov and a matched LinkedIn profile for Bin Dong.

Bin Dong previously worked as Computational Research Scientist at Berkeley Lab and Postdoc at Berkeley Lab. Bin Dong holds Doctor Of Philosophy (Phd), Computer Science, Parallel I/O from Beihang University.

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{first_initial}{last}@lbl.gov
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Profile bio

About Bin Dong

Passionate computer scientist and engineer with over ten years of R&D experience in Big data storage, index, search, analysis, and visualization. Significant experience with applying statistics or machine learning techniques (e.g. regression, clustering, time series, CNN) in mathematical modeling, system design and optimizations toward resolving real-world problems. Team player with solid group coordination, written and oral communication skills. My work are anchored by a list of open-source software and a strong publication and professional service record in conferences and journals, e.g., SIGMOD, JPDC, HPDC, SC, IPDPS and PAAA.

Listed skills include Programming, Software Development, C, C++, and 16 others.

Current workplace

Bin Dong's current company

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Berkeley Lab
Berkeley Lab
Big Data + HPC + NoAI (Not Only AI); Book Author; GSoC'23 Mentor, Tech committee in SC, SSDBM, etc.
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6 roles

Bin Dong work experience

A career timeline built from the work history available for this profile.

Computational Research Scientist

Current
Berkeley Lab

Berkeley, CA, US

  • DASSA, a scalable data analysis engine and signal processing library (like Matlab Signal Processing toolbox) for terabyte data from Distributed Acoustic Sensing (DAS) https://bitbucket.org/dbin_sdm/dassa/src/master/.
  • FasTensor, a structure locality-aware parallel data processing system towards replacing MapReduce/Spark paradigms for multi-dimensional array processing, such as convolution used by CNN. It is 2000X faster than Spark.
  • SDS, an autonomous data management framework for optimally selecting data index/organization to accelerate terabyte or even exascale-byte data analysis and mining on supercomputer. https://code.lbl.gov/svn/sds/ (/w.
  • DataElevator, an ad-hoc software to perform low-contention data movement in deep-hierarchical storage system. https://bitbucket.org/sbyna/dataelevator.
  • ExaHDF5, a HDF5 array data model based library to scale its key features to upcoming exascale super computing. https://sdm.lbl.gov/exahdf5/
  • Proactive Data Containers (PDC), an object-based data abstraction for emerging HPC systems which are expected to be deployed with an unprecedented level of complexity, due to a very deep system memory/storage.
Feb 2016 - Present

Postdoc

Berkeley Lab

Berkeley, CA, US

Focus on basic things about parallel I/O, and also help on developing Scientific Data Service (SDS), etc.

Feb 2013 - Feb 2016

Research Assistant

Beihang University

Beijing, CN

  • SALB, a distributed intelligent based self-acting load balancing system for large-scale data servers at supercomputing centers. An example implementation on PVFS2: https://github.com/Goon83/SALB.
  • LCFS, a cluster file system with directory lookup table based metadata access method and dynamic file migration based small file access optimizations. LCFS was installed on Lenovo’s HPC.
  • MinCPP, a Bayes’s theorem based file assignment algorithm towards minimizing parallel data access contention.
Sep 2008 - Jan 2013

Big Data Research Intern

Weibo Corporation

Beijing, Beijing, CN

SSD Based Optimization for MYSQL which contains the posts from millions of users.

Jun 2012 - Sep 2012

Intern

Intel Corporation

Santa Clara, California, US

EFI TestEFI Based Multiple OS Startup

Jan 2008 - May 2008

Research Intern

Uestc

Nokia UMP Chinese Input Method

May 2007 - Oct 2007
2 education records

Bin Dong education

Doctor Of Philosophy (Phd), Computer Science, Parallel I/O

Beihang University

Bachelor'S Degree, Computer Science

University Of Electronic Science And Technology Of China
FAQ

Frequently asked questions about Bin Dong

Quick answers generated from the profile data available on this page.

What company does Bin Dong work for?

Bin Dong works for Berkeley Lab.

What is Bin Dong's role at Berkeley Lab?

Bin Dong is listed as Big Data + HPC + NoAI (Not Only AI); Book Author; GSoC'23 Mentor, Tech committee in SC, SSDBM, etc. at Berkeley Lab.

What is Bin Dong's email address?

AeroLeads has found 1 work email signal at @lbl.gov for Bin Dong at Berkeley Lab.

Where is Bin Dong based?

Bin Dong is based in San Francisco Bay Area, United States, United States while working with Berkeley Lab.

What companies has Bin Dong worked for?

Bin Dong has worked for Berkeley Lab, Beihang University, Weibo Corporation, Intel Corporation, and Uestc.

How can I contact Bin Dong?

You can use AeroLeads to view verified contact signals for Bin Dong at Berkeley Lab, including work email, phone, and LinkedIn data when available.

What schools did Bin Dong attend?

Bin Dong holds Doctor Of Philosophy (Phd), Computer Science, Parallel I/O from Beihang University.

What skills is Bin Dong known for?

Bin Dong is listed with skills including Programming, Software Development, C, C++, Python, Software Engineering, Java, and Eclipse.

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