QB students

Jonathan Ash
B.S. in Biotechnology and Biomathematics
Rutgers University, School of Environmental and Biological Sciences, 2021
Advisor: Sagar Khare
Affiliation: Quantitative Biomedicine
 
I'm interested in building ML models that predict protein-protein interactions to accelerate and improve drug design.
Institute for Quantitative Biomedicine
Room 208M
James Atherton
B.S. Biology, Molecular Cell Physiology
Monmouth University (2013)
Advisor: Arek Kulczyk
Affiliation: Quantitative Biomedicine
 
My current work in Dr. Kulczyk laboratory is focused on the workflow for structure determination of mitochondrial replicative proteins.
Institute for Quantitative Biomedicine
Room 208H
Larry Cheng
Pharm.D., Rutgers University (2014)
M.B.A., Rutgers University (2015)
Advisor: Bin Tian
Affiliation: Quantitative Biomedicine
 
Studying alternative polyadenylation in the placenta and cancer by analyzing data derived from RNA sequencing technologies
New Jersey Medical School-University Hospital Cancer Research Center
Room F1240
Megan Dilorio
B.S., Quantitative Biology University of Delaware
Advisor: Arek Kulczyk
Affiliation: Quantitative Biomedicine
 
Using cryo-electron microscopy to study DNA replication proteins
Institute for Quantitative Biomedicine
Room 208H
Jennifer Jiang
B.A. in Cell Biology and Neuroscience, Rutgers University
Advisor: Wei Dai
Affiliation:
 
Characterizing the 3D architecture of macromolecular machinery in their cellular environment using cryo-electron tomography (cryoET), correlative light and electron microscopy (CLEM) and focused ion beam (FIB)
Institute for Quantitative Biomedicine
Room 208G
Dan Liu
B.S., B.A., A.S, Pharm.D., M.B.A. etc) M.S. in statistics University of Connecticut
Advisor: Sijian Wang
Affiliation: Quantitative Biomedicine
 
Develop and evaluate effective statistical methods to make causal inference and identify the biological mechanisms underlying complex diseases
Institute for Quantitative Biomedicine
Room 308D
Mudassir Lodi
B.S., Bioinformatics
Virginia Commonwealth University (2021)
Advisor: Dr. Jinchuan Xing
Affiliation: Quantitative Biomedicine
 
My research interest focus on the development and implementation of computational, bioinformatics, and machine learning methods to investigate genetic variation in human disease, identify candidate risk genes, and aid the advancement of precision medicine.
LSB
Room 325
Changpeng Lu
B.S., Physics
Wuhan University (2018)
Advisor: Sagar Khare & Sijian Wang
Affiliation: Quantitative Biomedicine
 
Protein design or prediction using deep learning models, such as graph convolutional neural network, generative models and structural biology data analysis using unsupervised learning methods and statistical methods

Xueyibing Lu
B.S. Biology
University of Minnesota - Twin Cities (2021)
Advisor: Not yet determined
Affiliation: Quantitative Biomedicine
 

Douglas Pike
B.A., Biology
Richard Stockton College of New Jersey (2005)
Advisor: Vikas Nanda
Affiliation: Quantitative Biomedicine
 
Designing and characterizing peptides to simulate early-life redox reactions
Center for Advanced Biotechnology & Medicine
Room 138
Elizabeth Rosenzweig
B.S., Bioinformatics
CUNY NYC College of Technology (2017)
Advisor: Derek Gordon
Affiliation: Quantitative Biomedicine
 

Jan Siess
A.S., Natural Sciences & Mathematics
Bergen Community College (2014)
B.A., Biomathematics
Rutgers University (2017)
Advisor: Vikas Nanda
Affiliation: Quantitative Biomedicine
 

Stefjord Todolli
B.S., Biology & Chemistry
Lockhaven University of Pennsylvania (2010)
Advisor: Wilma Olson
Affiliation: Computational Biology & Molecular Biophysics
 
Constructing a model for the linker histone and its interactions with nucleosomal and linker DNA
Wright Rieman Laboratories
Room A211
Geoffrey Yoo
BS in Biomedical Engineering
Johns Hopkins University (2017)
Advisor: Dr. Sijian Wang
Affiliation: Quantitative Biomedicine
 
My research interest focuses on using deep learning to predict protein structure from sequence
Institute for Quantitative Biomedicine
Room 308D