Bin Dai

Bin Dai Email and Phone Number

Senior Scientific Advisor and Data Science Lead at Halliburton @ Halliburton
Bin Dai's Location
Katy, Texas, United States, United States
Bin Dai's Contact Details

Bin Dai work email

About Bin Dai

With over two decades of expertise in sensor instrument development, data science, and software development, I apply advanced data science methods to tackle complex challenges in analytical chemistry and geosciences. My experience spans optical & NMR spectroscopy, sensor calibration, the innovation of downhole fluid analysis instrumentation and software development.In recent years, I’ve led a talented team of sensor scientists, data scientists, and software engineers in developing sensors and software solutions that support oil field services. By integrating fit-for-purpose AI and ML techniques, we’ve delivered data-driven innovations that optimize downhole fluid analysis, enhancing capabilities in property prediction and real-time decision-making.

Bin Dai's Current Company Details
Halliburton

Halliburton

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Senior Scientific Advisor and Data Science Lead at Halliburton
Bin Dai Work Experience Details
  • Halliburton
    Senior Scientific Advisor And Data Science Lead
    Halliburton Nov 2018 - Present
    Houston, Texas, Us
    Lead a team of data scientists and software engineers to develop desktop and cloud-based applications for realtime processing and visualization of the wireline and LWD formation testing data, automate the data processing and report generation process, reduce the processing time from days to a few minutes. Develop machine learning and AI solutions to enable realtime downhole fluid analysisConduct formation fluid pumpout numerical simulation and develop ML based proxy models for intelligent job planning.Develop customized data processing and AI algorithms for automated pressure gradient analysis, pressure transient analysis and pretest location optimization.
  • Halliburton
    Team Lead And Scientific Advisor, Chemometrics, Fluid Id, Sensor Physics Department, Wireline Psl.
    Halliburton Sep 2013 - Oct 2018
    Houston, Texas, Us
    Lead a team of sensor scientists and data scientists to develop formation tester's downhole fluid analysis sensors. Support worldwide sensor deployment and ML based sensor calibration.Develop data driven algorithms to enable realtime filtrate contamination analysis during sampling operation.Stayed up-to-date with the latest machine learning technologies and software packages.
  • Monsanto
    Research Scientist
    Monsanto Jun 2008 - Sep 2013
    St. Louis, Missouri, Us
    Lead a team of automation engineers and sensor scientists developing the world's fastest haploid seed sorting machine based on ultrafast NMR relaxation measurement, to support double haploid breading program. Support company wide data science and analytics effort for analytical chemistry measurement and instrument automation
  • Procter & Gamble
    Research Scientist
    Procter & Gamble Mar 2007 - May 2008
    Cincinnati, Ohio, Us
    1. Develop chemometric and advanced digital signal processing algorithms for data analysis and modeling in vibrational spectroscopy, hyperspectral imaging, NMR spectroscopy/relaxometry.2. Develop two-dimensional NMR relaxometry and novel NMR data parameterization methods to better understand the molecular structure, phase, and dynamic of complex fluid. Applied these data analysis tools and methods to investigate phase stability problems of complex liquid detergent fluids.
  • University Of Kentucky
    Research Assistant
    University Of Kentucky Aug 2002 - Mar 2007
    Lexington, Ky, Us
    1. Develop nondestructive and high-throughput Near IR process analytical instrument using molecular factor computing simulation for biomedical diagnostic and pharmaceutical process analytical applications.2. Investigate near infrared spectroscopy for pharmaceutical cleaning validation.
  • Procter & Gamble
    Ph.D. Summer Intern
    Procter & Gamble May 2006 - Sep 2006
    Cincinnati, Ohio, Us
    1. Developed chemometric models (PCA, PLS and MLR) to correlate NIR, NMR and LC-MS data with coffee sensory data2. Developed and implemented the heterospectroscopy (NMR & LC-MS) statistical correlation method for coffee taste attribute biomarker discovery
  • General Electric
    Summer Intern
    General Electric May 2002 - Jul 2002
    Boston, Ma, Us
    Supply Chain Management Software Testing.

Bin Dai Skills

Analytical Chemistry Spectroscopy Nmr Chemistry Data Analysis Chemometrics Nir Spectroscopy Statistics Matlab Lc Ms Data Mining Multivariate Analysis Simulations R Ir Hplc Biotechnology Life Sciences Scientific Computing Hyperspectral Imaging Jmp Digital Signal Processing Microsoft Excel Machine Learning

Bin Dai Education Details

  • Washington University In St. Louis
    Washington University In St. Louis
    Finance
  • University Of Kentucky
    University Of Kentucky
    Chemometrics (Data Science In Analytical Chemistry)
  • Tongji University
    Tongji University
    Chemistry

Frequently Asked Questions about Bin Dai

What company does Bin Dai work for?

Bin Dai works for Halliburton

What is Bin Dai's role at the current company?

Bin Dai's current role is Senior Scientific Advisor and Data Science Lead at Halliburton.

What is Bin Dai's email address?

Bin Dai's email address is da****@****ail.com

What schools did Bin Dai attend?

Bin Dai attended Washington University In St. Louis, University Of Kentucky, Tongji University.

What are some of Bin Dai's interests?

Bin Dai has interest in Children, Economic Empowerment, Education, Science And Technology, Arts And Culture.

What skills is Bin Dai known for?

Bin Dai has skills like Analytical Chemistry, Spectroscopy, Nmr, Chemistry, Data Analysis, Chemometrics, Nir Spectroscopy, Statistics, Matlab, Lc Ms, Data Mining, Multivariate Analysis.

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