Biotechnology

Donna L Bedard
Name: Donna L Bedard
Title:Research Professor
Department Biology
School Science
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Kristin P Bennett
Name: Kristin P Bennett
Title:Professor
Department Computer Science Lally School of Management and Technology Mathematical Sciences
School Lally School of Management and Technology Engineering Science
Center Center for Biotechnology and Interdisciplinary Studies (CBIS) Data Science Research Center (DSRC) Rensselaer Exploratory Center for Cheminformatics Research (RECCR)
Website:http://homepages.rpi.edu/~bennek/
Bio Dr. Bennett
is an active researcher in the Mathematical Programming, Operations
Research, Machine Learning, Bioinformatics and Data Mining communities. She is
currently a Professor in the departments of Mathematical Sciences and Computer Science at Rensselaer. She founded and directs the NIH funded TB-Track Project which examines the molecular epidemiology of tuberculosis. She is co-PI of RPI's NSF Advance project for the advancement of women faculty at RPI and has expertise in gender issues and faculty advancement.
She was Program
Co-chair of the 2005 SIGKDD Knowledge Discovery and Data Mining
Conference. She has served as a program committee member of numerous conferences including
SIGKDD Knowledge Discovery and Data Mining Conference, AAAI
Conference, International Conference on Machine Learning, Neural
Information Processing Systems, IEEE Conference on Data Mining,
Computational Learning Theory, and SIAM International Conference on
Data Mining. She is a founding associate editor of ACM Transactions
on Knowledge Discovery and Data Mining. She has organized multiple
data mining and machine learning clusters at INFORMS meetings. She
is a former associate editor of Naval Research Logistics, Machine
Learning Journal, SIAM Journal of Optimization, and IEEE
Transactions on Neural Networks. She serves on the advisory board of
the Journal of Machine Learning Research. She has experience
developing data mining approaches for chemistry, biology, and public
health related applications. She is PI and director of a project of the NIH
funded project: Discovering Hidden Groups Across Tuberculosis
Patient and Pathogen Genotype Data. She has one patent for
database indexing to support data mining earned while she was a
visiting researcher at Microsoft Research. She received both the
Rensselaer and NSF Early Career Awards, as well as the Boeing
Distinguished Educator Award for Women and Minorities.
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Education Ph.D., University of Wisconsin, Madison, 1993
Scholarly Works:
  • J. Zaretzki, C. Bergeron, P. Rydberg, T.-W. Huang, K. P. Bennett, and C. Breneman, �RS-Predictor: A new tool for generating and validating models capable of predicting sites of cytochrome P450-mediated metabolism,�, Journal of Chemical Information and Modeling, to appear, 2011
  • G. Moore, C. Bergeron, and K. P. Bennett, �Model Selection for Primal SVM�, Machine Learning, to appear, 2011.
B. Wayne Bequette
Name: B. Wayne Bequette
Title:Professor
Department Chemical and Biological Engineering
School Engineering
Center Center for Automation Technologies and Systems (CATS) Center for Biotechnology and Interdisciplinary Studies (CBIS) Center for Fuel Cell and Hydrogen Research (CFCHR) Center for Future Energy Systems (CFES)
Website:http://homepages.rpi.edu/~bequeb/bwbres.html
Bio Dr. Bequette served as President of the American Automatic Control Council (AACC) in 2008-9, and currently serves as the AIChE CAST Division Programming Chair (2010-2013). He is a Fellow of the AIChE (May, 2008), was inducted into the Arkansas Academy of Chemical Engineers (April, 2007), received the Rensselaer School of Engineering Research Excellence Award (2008), and was named a Trustee of the CACHE Corporation (2010-2012).

Dr. Bequette is the author of Process Control: Modeling, Design and Simulation (2003) and Process Dynamics: Modeling, Analysis and Simulation (1998), both published by Prentice Hall. He served as the Guest Editor of Diabetes Technology and Therapeutics (February, 2005), and also edited special issues on Process Control for the IEEE Control Systems Magazine (August and December, 2006). He is a founding member of the editorial board of the Journal of Diabetes Science and Technology, and has co-edited a number of special issues on algorithms for sensors and a closed-loop artificial pancreas.
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Education 1980 B.S. Ch.E. University of Arkansas, Fayetteville 1985 M.S.E. University of Texas, Austin 1986 Ph.D. University of Texas, Austin
Scholarly Works:
  • Cameron, F., B.W. Bequette, D.M. Wilson, B.A. Buckingham, H. Lee and G. Niemeyer “A Closed-Loop Artificial Pancreas Based on Risk Management,” J. Diabetes Sci. Technol., 5(2), 368-379 (2011).
  • Kuure-Kinsey, M. and B.W. Bequette “A Multiple Model Predictive Control Strategy for Disturbance Rejection,” Ind. Eng. Chem. Res. 49(17), 7983-7989 (2010).
  • Dassau, E., F. Cameron, H. Lee, B.W. Bequette, H. Zisser, L. Jovanovic, H.P. Chase, D.M. Wilson, B.A. Buckingham and F.J. Doyle III. “Real-time Hypoglycemia Prediction Suite Using Continuous Glucose Monitoring: A safety net for the artificial pancreas,” Diabetes Care, 33(6), 1249-1254 (2010).
  • Buckingham, B, H.P. Chase, E. Dassau, E. Cobry, P. Clinton, V. Gage, K. Caswell, J. Wilkinson, F. Cameron, H. Lee, B.W. Bequette, F.J. Doyle III “Prevention of Nocturnal Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension,” Diabetes Care, 33(5), 1013-1018 (2010).
  • Bequette, B.W. Continuous Glucose Monitoring: Real-Time Algorithms for Calibration, Filtering and Alarms. J. Diabetes Science and Technology, 4(2), 404-418 (2010).
  • Bequette, B.W. Process Control: Modeling, Design and Simulation, Prentice Hall, Upper Saddle River, NJ (2003).
  • Bequette, B.W. Process Dynamics: Modeling, Analysis and Simulation, Prentice Hall, Upper Saddle River, NJ (1998).
Recognitions:
  • AIChE Fellow (May, 2008)
  • Arkansas Academy of Chemical Engineers (April, 2007)
  • Trustee of the CACHE Corporation (2010-2012)
  • Rensselaer School of Engineering Research Excellence Award (2008)
Chris Bjornsson
Name: Chris Bjornsson
Title:Research Assistant Professor
Department Biology
School Science
Center Center for Biotechnology and Interdisciplinary Studies (CBIS)
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Keywords
Curt Breneman
Name: Curt Breneman
Title:Professor & Acting Dept. Head
Department Chemistry and Chemical Biology
School Science
Center Rensselaer Exploratory Center for Cheminformatics Research (RECCR)
Website:http://rpi.edu/dept/chem/chem_faculty/profiles/breneman.html
Bio Curt Breneman was born in Santa Monica, California in 1956, and went on to earn a B.S. in Chemistry at UCLA in 1980 followed by a Ph.D. in Chemistry at UC Santa Barbara (with an emphasis on Physical Organic and Computational Chemistry) in 1987. Following two years of post-doctoral research at Yale University, Dr. Breneman joined the faculty of the Department of Chemistry at Rensselaer Polytechnic Institute (RPI) and began a program in molecular recognition and computational chemistry based on his concept of "Transferable Atom Equivalents", or TAEs, as building blocks for describing the electronic and reactive character of molecules. Dr. Breneman currently holds the rank of Full Professor in the RPI Department of Chemistry and Chemical Biology, and is the Director of the NIH RECCR Center.

The Breneman research group primarily specializes in the development of new molecular property descriptors and machine learning methods that can be applied to a diverse set of physical and biochemical problems. Of paramount interest are methods that can increase the information content of molecular descriptors, and machine learning techniques that can exploit this data for the creation of fully validated, predictive property models. Current application areas include pharmaceutical ADME prediction, virtual high-throughput screening of drug candidates, protein chromatography modeling (HIC and ion-exchange), as well as polymer property prediction.



Details
Education Ph.D. in Chemistry at UC Santa Barbara (with an emphasis on Physical Organic and Computational Chemistry) 1987
Scholarly Works:
  • Zaretzki, J.; Bergeron, C.; Rydberg, P.; Huang, T.-w.; Bennett, K. P.; Breneman, C. M. "Rs-Predictor: A New Tool for Predicting Sites of Cytochrome P450-Mediated Metabolism Applied to Cyp 3a4" J. Chem. Inf. Model. 2011, 51, 1667-1689.
  • Das, S.; Krein, M. P.; Breneman, C. M. "Binding Affinity Prediction with Property-Encoded Shape Distribution Signatures" J. Chem. Inf. Model. 2010, 50, 298-308.
  • Das, S.; Krein, M. P.; Breneman, C. M. "Pesdserv: A Server for High-Throughput Comparison of Protein Binding Site Surfaces" Bioinformatics 2010, 26, 1913-1914.
  • Morrison, C. J.; Breneman, C. M.; Moore, J. A.; Cramer, S. M. "Evaluation of Chemically Selective Displacer Analogues for Protein Purification" Anal. Chem. 2009, 81, 6186-6194.
  • Das, S.; Kokardekar, A.; Breneman, C. M. "Rapid Comparison of Protein Binding Site Surfaces with Property Encoded Shape Distributions" J. Chem. Inf. Model. 2009, 49, 2863-2872.
  • Sukumar, N.; Krein, M.; Breneman, C. M. "Bioinformatics and Cheminformatics: Where Do the Twain Meet?" Curr. Opin. Drug Discovery Dev. 2008, 11, 311-319.
  • Yang, T.; Sundling, M. C.; Freed, A. S.; Breneman, C. M.; Cramer, S. M. "Prediction of Ph-Dependent Chromatographic Behavior in Ion-Exchange Systems" Anal. Chem. 2007, 79, 8927-8939.
Juergen Hahn
Name: Juergen Hahn
Title:Professor
Department Biomedical Engineering Chemical and Biological Engineering
School Engineering
Center Center for Automation Technologies and Systems (CATS) Center for Biotechnology and Interdisciplinary Studies (CBIS)
Website:http://homepages.rpi.edu/~hahnj/group.html
Bio Juergen Hahn was born in Grevenbroich, Germany, in 1971. He received his diploma degree in engineering from RWTH Aachen, Germany, in 1997, and his MS and Ph.D. degrees in chemical engineering from the University of Texas, Austin, in 1998 and 2002, respectively. He was a post-doctoral researcher at the chair for process systems engineering at RWTH Aachen, Germany, before joining the department of chemical engineering at Texas A&M University, College Station, in 2003. He joined the Rensselaer Polytechnic Institute as a professor in 2012 and currently holds appointments in the department of biomedical engineering and the department of chemical & biological engineering. His research interests include systems biology and process modeling and analysis with over 60 articles and book chapters in print. Dr. Hahn is a recipient of a Fulbright scholarship (1995/96), received the Best Referee Award for 2004 from the Journal of Process Control, the CPC 7 Outstanding Contributed Paper Award in 2006, and was named the 2010 CAST Outstanding Young Researcher. He is currently serving as an associate editor for the journals Automatica, Control Engineering Practice, and the Journal of Process Control.
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Education
Ph.D.,University of Texas at Austin,  (2002)
M.S.,University of Texas at Austin,(1998)
Diploma,    RWTH Aachen, Germany, (1997)
Scholarly Works:
  • Z. Huang, C. Moya, A. Jayaraman, and J. Hahn. Using the Tet-On System to Develop a Procedure for Extracting Transcription Factor Activation Dynamics. Molecular BioSystems 6, No. 10, pp. 1883-1889 (2010)
  • C. Qu and J. Hahn. Computation of Arrival Cost for Moving Horizon Estimation via Unscented Kalman Filtering. Journal of Process Control 19, No. 2, pp. 358-363 (2009).
  • Z. Huang, F. Senocak, A. Jayaraman, and J. Hahn. Integrated Modeling and Experimental Approach for Determining Transcription Factor Profiles from Fluorescent Reporter Data. BMC Systems Biology 2:64 (2008).
  • Y. Chu and J. Hahn. Integrating Parameter Selection with Experimental Design under Uncertainty for Nonlinear Dynamic Systems. AIChE Journal 54, No. 9, pp. 2310-2320 (2008).
  • Y. Chu, A. Jayaraman, and J. Hahn. Parameter Sensitivity Analysis of IL-6 Signaling Pathways. IET Systems Biology 1, No. 6, pp. 342-352 (2007).
  • A.K. Singh and J. Hahn. Sensor Location for Stable Nonlinear Dynamic Systems: Multiple Sensor Case. Industrial & Engineering Chemistry Research 45, No. 10, pp. 3615-3623 (2006).
Recognitions:
  • Associate Editor, Journal of Process Control 2010-
  • Associate Editor, Automatica 2011-
  • Associate Editor, Control Engineering Practice 2007-

  • AIMBE Fellow, 2013
  • CAST Outstanding Young Researcher Award, 2010
  • Ray Nesbitt Development Professorship II, 2010
  • Keller Faculty Fellowship,2008
  • Brockett Professorship, 2008
  • CPC 7 Outstanding Contributed Paper Award, 2006
  • Outstanding Reviewer, Automatica, 2005, 2006, 2007
  • Best Referee Award, Journal of Process Control, 2004
  • William S. Livingston Graduate Fellowship, 2001
  • David Bruton, Jr. Graduate Fellowship, 2000
  • Springorum Medal, 1998
  • Fulbright Scholarship, 1995
Mariah Hahn
Name: Mariah Hahn
Title:Associate Professor
Department Biomedical Engineering
School Engineering
Center Center for Biotechnology and Interdisciplinary Studies (CBIS)
Website:www.hahntissuelab.com
Bio Mariah Hahn received her Bachelor of Science degree in chemical engineering in 1998 from the University of Texas, from which she graduated with highest honors. She continued her education at Stanford, where she received a Masters degree in electrical engineering in 2001. She completed her PhD studies in vocal fold regeneration at the Massachusetts Institute of Technology in 2004. During her PhD and post-doctoral studies, Dr. Hahn was trained by two leaders in tissue engineering and biomaterials - Dr. Robert Langer and Dr. Jennifer West. In 2005, Dr. Hahn joined the department of chemical engineering at Texas A&M University, College Station, as an assistant professor and was promoted to associate professor in 2011. She will join Rensselaer Polytechnic Institute as an associate professor of biomedical engineering with a courtesy appointment in chemical & biological engineering in 2012. Her research interests include elucidating cell-biomaterial interactions so as to rationally guide bone and vascular regeneration. Her research has culminated in over 36 research articles. Dr. Hahn is a recipient of the NSF CAREER award (2010) and the American Society of Engineering Education GSW Young Faculty Award.
Details
Education PhD., Electrical Engineering and Computer Science, MIT (2004)

M.S., Electrical Engineering, Stanford (2001)

B.S., Chemical Engineeering, UT Austin (1998)

Scholarly Works:
  • A.S. Bulick, D. Munoz-Pinto, M. Mani, D. Cristancho, M. Urban, M.S. Hahn. (2009). Impact of endothelial cells and mechanical conditioning on smooth muscle cell extracellular matrix production and differentiation. Tissue Engineering. 15 (4): 815-25. PMID: 19108675

    D. Munoz-Pinto, C.A. Jimenez-Vergara, L.M. Gelves, R. McMahon, V. Guiza-Arguello, M.S. Hahn. (2009). Probing vocal fold fibroblast response to hyaluronan in controlled 3D contexts. Biotechnology and Bioengineering. 104 (4): 821-31. PMID: 19718686

    D. Munoz-Pinto, R. McMahon, M. Kanzelberger, A.C. Jimenez-Vergara, Y. Hou, M. Grunlan, M.S. Hahn. (2010). Inorganic-organic hybrid scaffolds for osteochondral regeneration. J of Biomed Mater Res A. 94 (1): 112-21. PMID: 20128006

    Y. Hou, C.A. Schoener, K.R. Regan, D. Munoz-Pinto, M.S. Hahn, M.A. Grunlan. (2010). Photo-crosslinked PDMSstar-PEG hydrogels: Synthesis, characterization, and potential application for tissue engineering scaffolds. Biomacromolecules. 11(3):648-56. PMID: 20146518

    X. Qu, AC Jimenez-Vergara, D.J. Munoz-Pinto, D. Ortiz, R.E. McMahon, D Cristancho, S. Becerra-Bayona, V. Guiza-Arguello, K.J. Grande-Allen, M.S. Hahn. (2011). Regulation of smooth muscle cell phenotype by glycosaminoglycan identity. Acta Biomaterialia. 7(3):1031-9. PMID: 21094702

    R.E. McMahon, X. Qu, A.C. Jimenez-Vergara, C.A. Bashur, S.A. Guelcher, A.S. Goldstein, M.S. Hahn. (2011). Electrospun mesh-hydrogel composites for tissue engineered vascular grafts. Tissue Eng. C, 17 (4):451-61. PMID: 21083438

    M.B. Browning, T. Wilems, M. Hahn, E.M. Cosgriff-Hernandez. (2011). Compositional control of poly(ethylene glycol) hydrogel modulus independent of mesh size. J Biomed Mater Res, 98A (2): 268-73.

    Y. Hou, R. Fei, J.C. Burkes, S.D. Lee, D Munoz-Pinto, M.S. Hahn, M.A. Grunlan. (2011). Thermoresponsive nanocomposite hydrogels: Transparency, rapid deswelling and cell release. J.Biomater. Tissue Eng. 1: 93-100.

    M.B. Browning, D. Dempsey, V. Guiza, S. Becerra, J. Rivera, M. Höök, B. Russell, F. Clubb, M. Miller, T. Fossum, J. Dong, A. Bergeron, M. Hahn, E. Cosgriff-Hernandez. (2012) Multilayer vascular grafts based on collagen-mimetic proteins. Acta Biomaterialia, 8(3):1010-21.

Recognitions:
  • NAE 2010 Frontiers of Engineering Symposium Participant, 2010
  • NSF CAREER Award, 2010-2015
  • ASEE GSW Young Faculty Award, 2009
  • College of Engineering Select Young Faculty Award, 2009
  • ACS PROGRESS/Dreyfus Lectureship Award, 2008
  • National Science Foundation Graduate Fellowship, 1999-2002
Xavier Intes
Name: Xavier Intes
Title:Associate Professor
Department Biomedical Engineering
School Engineering
Center Center for Biotechnology and Interdisciplinary Studies (CBIS) Center for Engineering-based Patient Modeling (CEPM) Center for Modeling, Simulation and Imaging in Medicine (CEMSIM) Scientific Computation Research Center (SCOREC)
Website:http://intes-lab.bme.rpi.edu/index.shtml
Bio Xavier Intes received a Ph.D. degree in 1998 in physics from the University of Bretagne Occidentale (France) for his contributions in characterization of propagation of optical scalar waves in highly diffuse medium. He then joined Prof Chance laboratory in 1999 as a postdoctoral fellow at the University of Pennsylvania. He held simultaneously postdoctoral appointments in the departments of Biochemistry and Biophysics, of Radiology under the mentorship of Prof Chance and the department of Astronomy and Physics under the mentorship of Prof Arjun Yodh. In 2001, he acted as the Director of Research of the Medical Diagnostic Research Foundation, Philadelphia, USA, and the Director of Research of Optical Devices Inc., Philadelphia, USA. In 2003 he joined Advanced Research Technologies Inc as as ART's Chief Scientist.

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Education Ph.D. Physics (Universite de Bretagne Occidentale (France), 1998)
M.S. Physics (Universite de Bretagne Occidentale, 1994)
B.S. Physics (Universite de Bretagne Occidentale, 1992)
Scholarly Works:
  • h-index: 20; Citations> 1400 (http://scholar.google.com/citations?user=J5KmM0YAAAAJ&hl=en)
  • V Venugopal, J Chen, M Barrosso and X Intes, “Quantitative tomographic imaging of intermolecular FRET in small animals,” Biomedical Optics Express, 3(12), 3161-3175 (2012)
  • M Pimpalkhare, J Chen, V Venugopal and X Intes, “Ex Vivo Fluorescence Molecular Tomography of the Spine,” International Journal of Biomedical Imaging, 942326 (2012)
  • J Chen, Q Fang and X Intes, “Mesh-based Monte Carlo Method in Time-domain Widefield Fluorescence Molecular Tomography,” Journal of Biomedical Optics 17(10), 106009 (2012).
  • X Intes, V Venugopal, J Chen and F Azar, “Multimodal diffuse imaging system,” in Biomedical Optical Imaging Techniques: Design and Applications, Springer, Chapter 7:351-374(2012).
  • L Zhao, V Lee, G Dai and X Intes, “Mesoscopic Fluorescence Molecular Tomography of Tissue Engineered Vascular Construct,” Biomaterials 33 (21), 5325–5332 (2012).
  • V Venugopal and X Intes, “Recent advances in optical mammography,” Current Medical Imaging Reviews 8(4), 244-259 (2012).
  • X Intes and F S Azar, “Advances in optical mammography,” in Advanced Optical Imaging Technologies for Clinical Medicine, Editors N Iftimia, W Brugge, D Hammer, Wiley &Sons, Chapter 11: 307-336 (2011).
  • J Chen and X Intes, “Comparison of Monte Carlo Methods for Fluorescence Molecular Tomography - Computational Efficiency,” Medical Physics 38 (10), 5788-5798 (2011).
  • J Chen , V Venugopal and X Intes, “A Monte Carlo based method for fluorescence tomographic imaging with lifetime multiplexing using time gates,” Biomedical Optics Express 2, 871-886 (2011).
  • V Venugopal, J Chen , F Lesage and X Intes, “Full-field time-resolved fluorescence tomography of small animals,” Optics Letters 35, 3189-3191 (2010).
  • V Venugopal, J Chen and X Intes, “Development of an optical imaging platform for functional imaging of small animals using wide-field excitation,” Biomedical Optics Express 1, 143-156 (2010).
  • J Chen , V Venugopal, F Lesage and X Intes, “Time Resolved Diffuse Optical Tomography with patterned light illumination and detection,” Optics Letters 35, 2121-2123 (2010).
  • S Belanger, M Abran, X Intes, C Casanova and F Lesage, “Real time Diffuse Optical Tomography based on Structured Illumination,” Journal of Biomedical Optics 15, 016006 (2010).
  • J Chen and X Intes, “Time-gated perturbation Monte Carlo for whole body functional imaging in small animals,” Optics Express 17, 19566–19579 (2009).
  • X Intes and F S Azar, “Introduction to Clinical Optical Imaging,” in Translational Multimodality Optical Imaging, Editors F. Azar and X. Intes, Chapter 1: 1-19 (2008).
  • B. Alacam, B. Yazici, X. Intes and B. Chance, “Pharmacokinetic-rate images of indocyanine green for breast tumors using near-infrared optical methods,” Phys. Med. Biol. 53, 837-859 (2008).
  • Book: Translational Multimodality Optical Imaging, Fred S Azar and Xavier Intes Editors, Artech House Publishing, 386 pages, 2008.
  • M. Guven, E. Giladi, B. Yazici, K. Kwon and X. Intes, “Effect of discretization error and adaptive mesh generation in diffuse optical absorption imaging: Part I,” Inverse Problem 23, 1115-1133 (2007).
  • M. Guven, E. Giladi, B. Yazici, K. Kwon and X. Intes, “Effect of discretization error and adaptive mesh generation in diffuse optical absorption imaging: Part II,” Inverse Problems 23, 1133-1160 (2007).
Recognitions:
  • NSF CAREER AWARD
  • SPIE: senior member
Peter Kramer
Name: Peter Kramer
Title:Associate Professor
Department Mathematical Sciences
School Science
Center Data Science Research Center (DSRC)
Website:http://homepages.rpi.edu/~kramep/
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Education Ph.D., Princeton University
Scholarly Works:
Lee Ligon
Name: Lee Ligon
Title:Assistant Professor
Department Biology
School Science
Center Center for Biotechnology and Interdisciplinary Studies (CBIS)
Website:http://www.rpi.edu/dept/bio/faculty/profiles/ligon.html
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Funding Agency
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Education Ph.D. University of Virginia Neuroscience