Advanced Manufacturing

Colorized microscopic images of molecules

Advanced manufacturing includes our world-famous Heparin Center, our biological 3D printing technology, and our work in next-generation biologic manufacturing and workforce readiness, in partnership with the National Institute for Innovation in Biopharmaceutical Manufacturing and other biopharmaceutical research centers.

Current Research

Steven Cramer, William Weightman Walker Professor of Polymer Engineering, Department of Chemistry and Biology

Professor Cramer conducts experimental and theoretical investigations into novel bioseparations systems. Topics include: prediction of protein binding affinity and multiscale modeling of chromatographic systems, design of chemically selective displacers, development of efficient antibody separation systems, fundamental studies in multimodal chromatography, novel lab on chip separations systems, protein unfolding in chromatographic systems, chemometrics for process analytical technology, multilevel automated peptide synthesis/screening system for design of affinity peptides and biosensors, smart biopolymer affinity precipitation systems, use of high throughput screening for quality by design of large-scale bioprocesses, design of novel affinity reagents for purification of therapeutic enzymes, and development of hierarchical nano-bio materials for bioprocessing.

Jonathan S. Dordick, Institute Professor, Chemical and Biological Engineering

Professor Dordick’s research group includes chemical engineers, bioengineers, materials scientists, biologists, and chemists all focused on gaining a quantitative understanding of biological principles and applying them to advance biomanufacturing, nanotechnology and advanced materials, and drug discovery. Specific areas of current research include protein structure and function at biological-material interfaces, biomanufacturing of high value products, stem cell bioengineering, remote and non-invasive control of gene expression, and high-throughput 3D cell culture for drug efficacy and toxicity screening.


'Robert Linhardt, Ann and John Broadbent, Jr. 59 Senior Constellation Professor Biocatalysis and Metabolic Engineering

Professor Linhardt conducts numerous avenues of investigation in bioengineering and metabolic engineering, biomolecular interaction and the interactome carbohydrate analysis and structural biology, glyobiology and glycomics, nanobiotechnology and nanoscale and microscale devices, and synthetic carbohydrate chemistry. Professor Linhardt holds joint appointments with the Department of Chemistry and Chemical Biology, Department of Biology, Department of Chemical and Biological Engineering, Department of Biomedical Engineering, and the Rensselaer Nanotechnology Center.


Yan Pingkun, Assistant Professor and Director of DIAL Medical Image Computing, Image-guided Interventions, Computer Vision, Artificial Intelligence

Professor Pingkun works in the translational medical research domain, focusing on medical imaging informatics and interventional oncology guidance using machine learning techniques through close collaboration with clinicians. His research goals are to quantify, augment, and visualize the information residing in large-scale multimodality medical imaging data using artificial intelligence and computer vision technologies.

Todd Przybycien, Professor of Chemical and Biological Engineering

Professor Przybycien’s research interests include precipitation processes, selectivity enhancement in affinity chromatography, rapid adventitious agent testing, and API and adventitious agent surrogates for process development and validation.

Juergen Hahn, Professor and Department Head, Biomedical Engineering

Process automation is an essential component of any advanced biomanufacturing process. Professor Juergen Hahn's group develops models with the ultimate goal to use these models in control algorithms for automating advanced manufacturing plants. Such model-based controllers can take interactions among the manipulated and controlled variables better into account than traditional approaches and have the potential for better controller performance. One specific area of model development that is receiving increasing attention is parameter estimation as it allows to directly incorporate experimental or plant data into the otherwise first-principles modeling task. Professor Hahn's group has made significant contributions to the area of parameter set selection as most models are overparameterized and determining which subset of parameters to estimate is an essential step of the estimation process.

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