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

2021-present               Member, National Academies Committee, National Academy of Sciences (NAS)

2020-present               Professor, Department of Chemistry, Rutgers University, Camden

2020-present               Member, NIEHS Center for Environmental Exposure and Disease, Environmental and Occupational Health Sciences Center, Rutgers University, New Brunswick

2016-present               Member, Joint Graduate Program in Toxicology, Rutgers University, New Brunswick

2011-present               Member, The Rutgers Center for Computational & Integrative Biology

2016-2020                   Associate Professor, Department of Chemistry, Rutgers University, Camden

2015-2019                   Member, Scientific Advisory Committee on Alternative Toxicological Methods (SACATM) at National Institute of Environmental Health Sciences (NIEHS)

2011-2016                   Assistant Professor, Department of Chemistry, Rutgers University, Camden

2006-2011                   Research Assistant Professor, School of Pharmacy, University of North Carolina, Chapel Hill

 

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

Within the Professions:

2021-present               Associate Editor, Ecotoxicology and Environmental Safety

2020                            Guest editor, ACS Sustainable Chemistry & Engineering

2019-present               Associate editor, Frontiers in Toxicology, Computational Toxicology and Informatics

2019                            Ad Hoc Reviewer, NCATS ASPIRE Design Challenge Grant

2017-present               Editorial board member, Ecotoxicology and Environmental Safety

2017-present               ASCCT Annual Meeting Organizing Committee

2016                            Ad Hoc Reviewer, US Army Grant

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

2015                            Ad Hoc Reviewer, U.S. EPA STAR Fellowship

2014-2019                   Member, Acute Toxicity Study Group

 

Industrial Collaborations/Consultants:

2020-present               Lubrizol, Cleveland, OH

2019-present               ExxonMobil, Clinton, NJ

2011-present               MultiCase Inc., Cleveland, OH

2017                            Sanofi, Bridgewater, NJ

2014                            Sigmapharm Laboratories, Bensalem, PA

2013                            Biofunc Research, Cleveland, OH

 

Research Grants

Active:

Active:

NIEHS (R01ES031080)                      Zhu (PI)                                   05/19/20 – 02/28/25         

Mechanism-Driven Virtual Adverse Outcome Pathway Modeling for Hepatotoxicity. Total cost: $2,271,161

 

NIEHS (R15ES023148)                      Zhu (PI).                                  08/09/13 – 07/31/22

Mechanistic evaluation of chemicals that induce oral acute toxicity by novel read-across approaches using public big data. Total cost: $940,888

 

ExxonMobil                                       Zhu (PI)                                   01/01/20 – 12/31/21

Predictive and validated estrogen receptor models. Total cost: $150,005

 

Pending:

NIH                                                      Zhu (co-I)                                Requested duration: 7 years        

Discovering Chemical Activity Networks-Predicting Bioactivity Based on Structure. Subaward cost: $576,818

Obtained impact score of 17 in November 2020 study section. Award pending.

 

NIH                                                      Zhu (PI)                                   Requested duration: 4 years        

Virtual nanostructure simulation (VINAS) database portal. Total cost: $1,544,598

 

Completed:

Lubrizol                                              Zhu (PI)                                   05/01/20 – 12/31/20

Develop a hybrid DART model based on both chemical descriptors and biological data obtained from public domain. Total cost: $25,000

 

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

 

Rutgers 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

 

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

 

Rutgers ORED-RUN-RBHS Grant

in Big Data Analytics                        Zhu (PI)                                   7/1/17–6/30/18

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

 

Rutgers 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

 

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: $15,000

 

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)