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faculty
Christopher Brigham, PhD he/him/his
Associate Teaching Professor
Bioengineering
Contact
508-999-8219
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Textiles 219A
Education
| 2006 | Tufts University School of Medicine | PhD |
| 1995 | Villanova University | BS - ChE |
Teaching
- Bioengineering
- Capstone design
Teaching
Courses
An introduction to the application of engineering to biological systems. Foundational topics including fluid dynamics, thermodynamics, enzyme kinetics, and design of experiments will constitute the beginning of the class. Following, applications of these introductory concepts will be covered in a set of case studies focused on human organ systems and biotechnology unit operations. We will focus on biomedical engineering concepts and current works through review of relevant literature in the field.
Biostatistical analysis and biological mathematical modeling. Analysis of large biological datasets and development of metabolic and bio-based mathematical models is explored to inform engineering design choices. The course introduces specialized software tools including SPSS, MATLAB and Python for data analysis and model construction.
Biostatistical analysis and biological mathematical modeling. Analysis of large biological datasets and development of metabolic and bio-based mathematical models is explored to inform engineering design choices. The course introduces specialized software tools including SPSS, MATLAB and Python for data analysis and model construction.
Written presentation of an original research topic in biomedical engineering and biotechnology, which demonstrates the knowledge and capability to conduct independent research. The thesis shall be completed under the supervision of a faculty advisor. An oral examination in defense of the thesis is required.
A culminating experience in which the student synthesizes his/her course knowledge and experimental skills into a brief but detailed experimental study, which also involves cross-field interdisciplinary cooperation. Although in some cases this project may be done individually under the supervision of one faculty member, it is expected that students will join in a team-based, collaborative effort involving students from a number of different disciplines, post-doctoral fellows and industry representatives and with intercampus participation.
Chemical principles and key concepts for bioengineers including chemical nomenclature, chemical syntheses, nucleic acid and protein chemistry, enzymology, metabolism, and others. Students will utilize the methods and concepts taught in this course for problem solving in biotechnology, biomanufacturing and the biopharmaceutical fields. This course also discusses manufacturing, validating, and using drugs, plastics, gels, polymers and fuels for biotechnology industry.
Chemical principles and key concepts for bioengineers including chemical nomenclature, chemical syntheses, nucleic acid and protein chemistry, enzymology, metabolism, and others. Students will utilize the methods and concepts taught in this course for problem solving in biotechnology, biomanufacturing and the biopharmaceutical fields. This course also discusses manufacturing, validating, and using drugs, plastics, gels, polymers and fuels for biotechnology industry.
Study under the supervision of a faculty member in an area covered in a regular course not currently being offered. Conditions and hours to be arranged.
Computer-based modeling of biological systems and examination of signal characteristics from biosystems and biomedical instrumentation. Use of object-oriented computer modeling (e.g., Python and Biopython) to examine behavior of cells and other biosystems, including transcription and translation, biological sequence comparison, and signal processing. Computational signals and systems labs will be assigned to analyze biomedical signals and other biosystem aspects using tools like MatLab and Simulink. The course focuses on computer literacy and enhancement of proficiency in using modeling and simulation tools.
A detailed overview of the important aspects of the emerging field of synthetic biology. The field of synthetic biology spans the boundaries of biology, chemistry and engineering with the goal of engineering biomolecular systems and cellular capabilities for a variety of applications. This course will cover three foundational parts of synthetic biology, including the biological background of molecular genetics, gene regulation, experimental methods for genetic circuit construction and networks/network modeling. Successful applications of synthetic biology in biofuels, biomedicine and other areas will be discussed in detail to demonstrate the potential impact of the field in these areas.
Teaching
Online and Continuing Education Courses
Biostatistical analysis and biological mathematical modeling. Analysis of large biological datasets and development of metabolic and bio-based mathematical models is explored to inform engineering design choices. The course introduces specialized software tools including SPSS, MATLAB and Python for data analysis and model construction.
Register for this course.
Research
Research activities
- Biomanufacturing
- Microbial genetics and physiology
Research
Research awards
- $ 737,449 awarded by MASSACHUSETTS LIFE SCIENCES CENTER for SouthCoast Biomanufacturing Training Program
Research
Research interests
- Bioplastics
- Biofuels
- Biomanufacturing processes
- Microbiology