Bin Dai
2223 Devonport Dr. Apt C-12, Lexington, KY 40504.
Phone (859) 420-3513 (Mobile) Email: bdai2@uky.edu

OBJECTIVE

To obtain an analytical chemist position in the pharmaceutical, biomedical or chemical industries that will utilize my expertise in molecular spectroscopy and chemometrics.

EDUCATION

Ph.D. in Analytical Chemistry 12/2006
Analytical Spectroscopy Research Group, College of Pharmacy, University of Kentucky
Thesis: Simulations-Guided Design of Process Analytical Sensors Using Molecular Factor Computing. Advisor: Dr. Robert A. Lodder

Bachelor of Science, Chemistry. Minor: Advertising 07/1999
Tongji University Shanghai, China

EXPERIENCE

Ph.D. Summer Intern, The Procter & Gamble Company, Cincinnati, OH 05/2006 -- 09/2006
Project: Chemometrics Modeling of Coffee Taste ---A Metabonomic Approach.
* Acquired NMR and UPLC-MS data of coffee samples.
* Developed Matlab routines for data mining.
* Developed chemometric models to correlate NMR and LC-MS data with sensory data.

Research Assistant, Analytical Chemistry Division, University of Kentucky. 05/2003--05/2006

Project 1: Optical Switching Catheter for Identification of Vulnerable Atherosclerotic Plaque.
* Developed a fiber-optic based molecular factor computing (MFC) system for differentiating cholesterol, collagen and elastin through red blood cell solutions.
* Developed a chemometrics software package for MFC filters selection and spectral analysis.

Project 2: MFC Based High-throughput NIR Spectrometer for Process Analysis.
* Developed a novel spectral library search algorithm for molecular filters selection.
* Built a MFC-based high-throughput NIR spectrometer.
* Analyzed ethanol in water mixtures using the MFC NIR spectrometer.
* Studied multimodal in vivo remote ethanol sensing. (Photoacustic spectroscopy, tissue laser reflectance).

Project 3: Near-IR Imaging for the Monitoring of Pharmaceutical Powder Blend Homogeneity
* Instrumentation of NIR spectroscopy and hyperspectral imaging.
* Multivariate data analysis of NIR spectra and imaging.

Teaching Assistant, Analytical Chemistry, University of Kentucky. 08/2002 -- 05/2003

Summer Intern, General Electric, GE (Lighting) Asia, Shanghai, CHINA. 05/2002 -- 08/2002
* ERP (Enterprise Resource Planning) software testing.

TECHNICAL SKILLS

* Expertise in Chemometrics. Proficiency in data analysis and data mining for spectroscopy and process modeling (PCA, PLS, Genetic Algorithm).

* Strong experience using chemometrics software packages including PLS_Toolbox for Matlab, CAMO unscrambler and Umetrics SIMCA-P.

* Expertise in Near-IR spectroscopy and knowledge in other forms of vibrational spectroscopy, e.g., UV-Vis, FT-IR, Raman, Fluorescence, Photoacoustic spectrometry.

* Experience using modern commercial instruments, e.g., NMR, HPLC, UPLC-MS.

* Strong programming experience in Matlab.

* Strong experience in optical instrument design and construction.

* Proficient in Microsoft Office applications: Word, Excel, Power Point and Microsoft Project.

SELECTED PUBLICATIONS

(1) Bin Dai; Aaron Urbas; Robert A. Lodder. Genetic Algorithm Based Linear Discriminant Analysis for Molecular Filters Selection in Molecular Factor Computing. In preparation.

(2) Bin Dai; Aaron Urbas; Robert A. Lodder. Genetic Algorithm Based Multivariate Linear Regression for Molecular Filters Selection in Molecular Factor Computing. In preparation.

(3) Bin Dai; Aaron Urbas; Robert A. Lodder. Molecular Factor Computing for Predictive Spectroscopy. Submitted to Anal. Chem for Publication.

(4) Aaron Urbas; Bin Dai; Ali Shamsaie; Robert A. Lodder. Molecular Factor Computing Near-Infrared Spectroscopy for Differentiating Cholesterol, Collagen and Elastin through Red Blood Cell Solutions. Submitted to Anal. Chem for Publication.

(5) Bin Dai; Aaron Urbas; Robert A Lodder. Prospects for implantable sensors powered by near infrared rechargeable batteries. NIR news Vol. 17 No. 1 (2006) P14-15.

(6) Bin Dai; Robert A. Lodder. Parallel Hyperspectral Integrated Computational Imaging. 2004 International Symposium on Distributed Computing and Applications to Business, Engineering and Science. 256-261.

(7) Cassis, L. A.; Dai, B.; Urbas, A.; Lodder, R. A. "In Vivo Applications of A Molecular Computing-based High-throughput NIR Spectrometer." Proc. SPIE-Int. Soc. Opt. Eng. 2004, 5329. 239-253.

(8) Yanchun Wang; Yufei Yuan; Binglin Ding; Peijiao Wang; Xiangfeng Sun; Bin Dai; Shuping Wu, Zhiqin Jian. "Study on Electron Transfer Mechanism of Nucleic Acid Precursors and Their Modified Structure" Chinese Journal of Organic Chemistry Vol.2, 2001,No.11, 890-897.

CONFERENCES & PRESENTATIONS

1. March 7-12, Pittcon 2004, Chicago, IL. Bin Dai, Robert A Lodder. Molecular Factor Computer-based High Throughput NIR Spectrometer.

2. Sep. 11-17. 2004 International Symposium on Distributed computing and Applications to Business, Engineering and Science. Wuhan, China. Bin Dai, Robert A Lodder. Parallel Hyperspectral Integrated Computational Imaging.

3. Feb. 28-March 4, Pittcon 2005, Orlando, FL. Bin Dai, Robert A lodder. Cholesterol, Elastin and Collagen Classification by Hyperspectral Integrated Computational Imaging.

4. Feb. 28-March 4, Pittcon 2005, Orlando, FL. Bin Dai, Robert A Lodder. Molecular Factor Computing Based Remote Ethanol Sensing.

5. July 21-22, 2005, Bethesda, Maryland. NIAAA Biosensors Annual Review Meeting. Bin Dai, Coorg R. Prasad, Wen Huang and Jack Bufton. A Non-invasive Near IR Integrated Alcohol Sensor System.

6. Mar. 12-17, Pittcon 2006 Orlando, FL. Bin Dai, Aaron Urbas, Joseph Medendorp, Robert Lodder. In Vivo Multimodal Remote Sensing of Ethanol Concentrations.

7. Mar. 12-17, Pittcon 2006 Orlando, FL. Bin Dai, Aaron Urbas, Robert Lodder. Molecular Factor Computing Near-Infrared Spectroscopy for Differentiating Cholesterol, Collagen and Elastin through Red Blood Cell Solutions.

REFERENCES

Prof. Robert A. Lodder. College of Pharmacy, University of Kentucky. (415) 692-5475 lodder@uky.edu

Additional references available upon request.