Chemical and Biological Systems Engineering Laboratory

 

About

CABSEL is engaged in a broad range of activities in the area of computational systems biology and bioinformatics. Our primary specializations include network inference, dynamical systems modeling and analysis, and design of experiments. Our research activities are driven by the mission to create enabling tools for extracting novel insights from heterogeneous biological data through the construction and analysis of biological network models, and to apply these tools to gain a better understanding of and to formulate interventions for human diseases and aging. Our research applications span multiple length- and time-scales in biology, from gene regulatory networks to signaling pathways to metabolic networks and from single cells to cell cultures. Our tools have been applied to give answers to biological questions of biotechnological, biomedical and biopharmaceutical significance.

 

For more information, go to Our Research page

 

The complete publication list can be found here.

 

Contact information:

Rudiyanto Gunawan

302 Furnas Hall

University at Buffalo 

Buffalo, NY 14260

 

Email: rgunawan@buffalo.edu

Tel: +1 (716) 645-0952

 

September 27, 2019

A new publication...

... on Alzheimer's disease C. elegans model will soon appear in the journal eLife

September 25, 2019

CABSEL receives its first NSF grant.

The grant - $2 million over two years - funds a collaborative research team, led by Associate Professor Rudiyanto Gunawan, toward a brain-to-materials institute, translating neuroscience into a transformative neuromorphic computing platform. We are looking for motivated graduate students to participate in this exciting new research direction for the group.

August 08, 2019

Congratulations Jill!

Jill successfully defended her Masters thesis on compartmental modeling of heat shock response dynamics in C. elegans.

June 17, 2019

We want you!

CABSEL lab has an open position for a postdoctoral fellow in the area of computational systems biology and bioinformatics. The perfect candidate should hold a PhD degree in chemical engineering, bioengineering, bioinformatics, or related fields, with expertise in computational methods, mathematical modeling, optimization, network inference, and/or single cell analysis. We have numerous exciting projects in which the postdoctoral fellow can align him/herself. The position is available immediately. 

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THE

GROUP

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Current

Panagiotis (Panos) Chrysinas

Panos is working on cross-tissue and cross-species prediction of gene expression.

PhD student

Saber Meamardoost

Saber is working on network inference applied to single-cell and single neuron data 

PhD student

Sudharshan Ravi

Sudharshan is working on cellular pathway analysis of human aging.

PhD student

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Former

Jillian Annis

MS 2019

Nan Papili Gao

PhD 2019

Nadia Sarait Vertti Quintero

PhD 2018

Anar Alshanbayeva

MS 2017

Sandro Hutter

PhD 2017

Tao Fang

Research Assistant 2017

Thomas Hartmann

Research Assistant 2017

Peter Ruppen

Research Assistant 2017

Heeju Noh

PhD 2017

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TOOLS

Network 

Inference

Network

Analysis

Single-cell

Analysis

Parameter

Estimation

Design of

Experiments

 

How to find us

University at Buffalo North Campus
405 Furnas Hall
Buffalo, NY 14260
Tel: (716) 645-3518

© 2018 by Rudiyanto Gunawan