Yale School of Medicine
Diagnostic Radiology - parent
Bioimaging Sciences - small

Bioimaging Sciences
Department of Diagnostic Radiology
P.O. Box 208042
New Haven, CT 06520-8042
Tel: 203.785.2427
Fax: 203.737.4273
carolyn.meloling@yale.edu

Jie Wang

Graduate Student, Department of Biomedical Engineering, Yale University
Mentor: Graeme Mason

 

Wang, Jie

Contact

Address:
Yale University, School of Medicine
Magnetic Resonance Research Center
TAC, N147, 300 Cedar Street
New Haven, Connecticut 06520-8043
United States

Email: jie.wang@yale.edu
Telephone: (203) 785-2953
Fax: (203) 785-6643

Education

2000-2004 Department of Chemistry, Lanzhou University, Gansu, China.

2004-2009 Department of Chemistry, Lanzhou University, Gansu, China.

2007-2009 Department of Biomedical Engineering, Yale University, New Haven, CT, USA

Please click here for Curriculum Vitae download

Research Interests

My major work consists of two areas. One is cheminformatcis. In this area, I use machine learning methods to study the properties of chemicals, such as linear regression, heuristic method, best multi-linear regression, support vector machine, projection pursuit regression, etc. The other areas of my research lie in the fields of energy metabolism and neurotransmission. My major work is to measure the time-dependent concentrations of glutamate, glutamine, and GABA throughout the brain after the administration of nicotine; I will measure rates of energy metabolism and neurotransmitter release following administration of glucose and acetate labeled with 13C, a stable isotope, and observe their incorporation into glutamate, glutamine, and GABA throughout the brain.

Selected Publications

  1. Wang, J.; Du, H.Y.; Liu, H.X.; Yao, X.J.; Hu, Z.D. and Fan, B.T., Prediction of surface tension for common compounds based on novel methods using heuristic method and support vector machine. Talanta 73: 147-156, 2007.
  2. Wang, J.; Du, H.Y.; Yao, X.J. and Hu, Z.D., Using classification structure pharmacokinetic relationship (SCPR) method to predict drug bioavailability based on grid-search support vector machine. Analytica Chimica Acta 601(2): 156-163, 2007.
  3. Du, H.Y.; Wang, J.; Watzl, J.; Zhang, X.Y. and Hu, Z.D., Classification structure–activity relationship (CSAR) studies for prediction of genotoxicity of thiophene derivatives. Toxicology Letters 177(1): 10-19, 2008.
  4. Du, H.Y.; Zhang, X.Y.; Wang, J.; Yao, X.J and Hu, Z.D., Novel approaches to predict the retention of histidine-containing peptides in immobilized metal-affinity chromatography. Proteomics 8(11): 2185-2195, 2008.

For a further list of my publications, please see Web of Science.