Education

1998-2002    Ph.D. degree in Computational Chemistry (Professor Gilles Klopman, thesis advisor) Department of Chemistry, Case Western Reserve University

Thesis Title: Quantitative structure-activity relationship studies of the cancer-related properties of organic molecules

1995-1998    M.S. degree in Applied Chemistry (Professor Nai Shi, thesis advisor) Department of Technical Physics, Peking University, Beijing, China

Thesis Title:  Activity and Conformation Changes of Dihydrofolate Reductase in Reverse Micelles

1991-1995    B.S. degree in Inorganic Chemistry (Professor Yuwen Liu, research advisor) Department of Chemistry, Jilin University, Changchun, Jilin, China

Research Project: Study the Gas Sensitivity of Novel Porphyrin Films

Professional Experience

2016-present               Associate Professor, Department of Chemistry, Rutgers University, Camden

September 2011 – June 2016:   Assistant Professor, Department of Chemistry, Rutgers University, Camden

July 2006 – August 2011:      Research Assistant Professor, School of Pharmacy, University of North Carolina, Chapel Hill

Sept. 2002- June 2006:       Post-doctoral Fellow, Department of Chemistry, Case Western Reserve University, Laboratory of Professor Gilles Klopman

Memberships in Professional Societies

  1. American Chemical Society (ACS)
  2. Society of Toxicology (SOT)
  3. American Association of Colleges of Pharmacy (AACP)
  4. American Society for Cellular and Computational Toxicology

Professional Service

Department of Chemistry

2017-present               Graduate Program Director

2017                            Faculty Search Committee

2013                            Faculty Search Committee

2012                            Faculty Search Committee

Center for Computational and Integrative Biology:

2015-present               Undergraduate Curriculum Committee

2013                            Faculty Search Committee

2011-2014                   Executive Committee

2011-2014                   Admission Committee

Rutgers University:

2016-present               Appointments and Promotions Committee (Natural Science)

2012-2014                   Rutgers China Office Advisory Council

Within the Profession:

2017-present               Editorial board member, Ecotoxicology and Environmental Safety

2017-present               ASCCT Annual Meeting Organizing Committee

2016-present               Review Panel Member, US Army Grant Peer Review Panel

2016-present               Peer reviewer of US EPA’s draft Provisional Peer-Reviewed Toxicity Values

2015                            Review Panel Member, U.S. EPA STAR Fellowship Program

2015-present               Member, Scientific Advisory Committee on Alternative Toxicological Methods at National Institute of Environmental Health Sciences (NIEHS)

2014-present               Member, Acute Toxicity Study Group

 

Research Grants

Active:

NIEHS (R15ES023148,

competitive renewal)                        Zhu (PI).                                  8/9/18–7/31/21

Mechanistic evaluation of chemicals that induce oral acute toxicity by novel read-across approaches using public big data. Total cost: $475,905

Provost multidisciplinary

research grant                                   Zhu (PI)                                   1/1/18–12/31/19         

Digital Nano: Developing Virtual Nanomaterial Simulation (VINAS) Toolbox for Intelligent Nanomodeling Total cost: $14,000

Colgate-Palmolive                            Zhu (PI)                                   5/1/17–6/30/20

Support read-across study of animal acute toxicity using public biological data. Total cost: $80,000

 

Completed:

The Johns Hopkins Center for      

Alternatives to Animal Testing       Zhu (PI)                                   3/1/16–2/28/19

Advance Predictive Modeling of Acute Toxicity by Big Data. Total cost: $70,000

ORED-RUN-RBHS Grant

in Big Data Analytics                        Zhu (PI)                                   7/1/2017–6/30/18

Big Data, Modeling and Validation to Advance Hepatotoxicity Prediction. Total cost: $40,000

Provost research grant                    Zhu (PI)                                   1/1/17–12/31/17         

CIIPro: a new read-across ADME-Tox predictor based on big data tool. Total cost: $3,390

NIEHS (R15ES023148)                     Zhu (PI).                                  8/9/13–7/31/17

Predictive computational acute toxicity modeling by profiling chemicals with public bioassay data. Total cost: $464,983

Rutgers University’s

Research Council                             Zhu (PI)                                   7/1/16–6/30/17

Advance QSAR to Big Data Profiling. Total cost: $3,920

Rutgers University’s

Environmental Health Pilot Grant  Zhu (PI)                                   1/1/17–3/31/17

From QSAR to big data profiling: the new generation of animal toxicity modeling. Total cost: $4,800

Rutgers University’s

Environmental Health Pilot Grant  Zhu (PI)                                   7/1/15–2/29/16

From QSAR to big data profiling: the new generation of animal toxicity modeling. Total cost: $23,850

Colgate-Palmolive                            Zhu (PI)                                   4/1/13–6/30/15

Profiling chemicals based on public bioassay data for the development of predictive computational acute toxicity model. Total cost: $40,000

Rutgers University’s

Research Council                             Zhu (PI)                                   4/30/13–5/1/14 Quantitative structure in vitro-in vivo relationship. Total cost: $3,000

Colgate-Palmolive                            Zhu (PI)                                   7/1/11–6/30/13

Predictive Quantitative Structure Activity Relationship (QSAR) modeling of reproductive and developmental toxicity using integrated chemical and biological (HTS profiles) descriptors of molecules. Total cost: $35,414

The Johns Hopkins Center for      

Alternatives to Animal Testing       Zhu (PI)                                   2/1/08–1/31/11

Use of high throughput screening methods improves computational models for in vivo acute toxicity tests. Total cost: $45,000

EPA (RD832720)                               Zhu (co-PI of project 2)          9/1/05 – 8/31/10

Carolina environmental bioinformatics research center. Total cost: $4,500,000 (co-PI of $725,000 sub-award, PI: Tropsha)