Tom Bersano, PhD


E-Mail:tombb@umich.edu
Web:http://tombb.com
Street Address:
Phone:
Full Name: Tommaso F. Bersano-Begey
LAST UPDATED ON: Friday, 20-Jun-2008 20:09:51 EDT
My research interests span several related areas of Computer Science, Molecular Biology and Biomedical Engineering. Specifically I am interested in:
  • MIcrofluidics devices for single-cell studies and cancer research;
  • Applying Artificial Intelligence to the automated design of new gene circuits in actual living cells, gaining control of their vast range of molecular sensors and nanoscale machinery, and their ability to replicate and navigate in microenvironments;
  • Providing better approaches to organization and scalability of synthetic biology;
  • Using Bioinformatics and data-mining discovery of new components for bio-circuits;
  • Automating microfluidic cell culture and analysis, and standardizing gene circuit testing;
  • Improving evolutionary computation theory with additional insights from molecular genetics.
  • Studying molecular mechanisms of Cellular Aging and Senescence, particularly as they relate to Stem Cell research from non-embryonic cells.

(coming soon)

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 EDUCATION (University of Michigan - ranked 3rd best graduate university in the nation - source):

1998-2003

Doctorate (Ph.D.) in Computer Engineering - Artificial Intelligence (Graduated Dec 2003),
Title: "Computer evolution of gene circuits for cell-embedded computation , biotechnology, and as a model for evolutionary computation"[abstract][toc][Order]
Advisor:John H. Holland

1999-2001

Master (M.S.E.) in BioMedical Engineering (Graduated Dec 2001)
Master (M.S.) in Biological Chemistry (Graduated Dec 2001)
Master (M.S.) in Kinesiology(Graduated May 2001)
(1 class away from an extra Master (M.S.) in Psychology - Cognitive Neuroscience)
(3 term papers away from an extra Master (M.S.) in Philosophy)
(3 classes away from an extra Master (M.S.E) in Electrical Engineering, Major in Circuits and Microcircuits, Minor in BioSystems)

1999 Completed PhD Candidacy and PhD Proposal

1997-1999Master (M.ENG.) in Aerospace Engineering(Graduated May 1999)
Certificate of Graduate Studies (C.G.S.) in Complex Systems(Graduated May 1999)

1997 Completed PhD Preliminary exam in EECS (1 year ahead of schedule)

1996-1997Master (M.S.E.) in Computer Science Engineering (Graduated May 1997)
1993-1996Bachelor of Science and Engineering (B.S.E.) in Computer Engineering (Graduated Cum Laude, May 1996)
Frequently Asked Questions:

Why so many degrees? In short, I have a lot of research interests and I felt that I would benefit the most from actually taking extra classes for credit as a way to learn in a more focused way outside of my current degree. There was no interdisciplinary degree that covered exactly what I was interested in, and to the degree of breadth and depth that I wanted, so I extended my own studies to fit my interests. The degrees themselves were not my main focus (as you can see I was just one or two classes away from a few more but didn't have a strong reason to complete them), but I took so many classes (not double-counting) that they started adding up to additional degrees to my conventional PhD studies.
Why did you take so many classes? I like to be efficient and stay productive, and I was paying for my studies by working full time as an engineer (I was not a US citizen or resident at the time, I was born in Italy, so I had to choose between receiving support from the university or working toward getting US citizenship through employment). So I had good reasons to want to get the most out of each semester I paid for.
Did it slow your studies? No, in fact I completed my undergraduate studies in just 3 years (1-2 years earlier than average), I completed my first Master in just a year, I took the preliminary exams for my PhD at that time (one year ahead of schedule), and completed all the rest of my PhD requirements on schedule, I just got extra degrees and research experience in the process of my normal PhD studies. I was also able to balance my studies with my research and full-time jobs despite taking 3 to 5 times as many classes as a full-time load each semester.
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 RESEARCH EXPERIENCE:
2008-Present Post Doctoral Research Fellow in the Solid State Electronics Laboratory, (Yoon Lab), University of Michigan
  1. Microfluidic single-cell capture and analysis
  2. High-throughput, microfluidic cell-cell interaction studies
  3. High-throughput, low-cost and highly-sensitive biomolecular detection mechanisms using lasers in microfluidic devices.

2005-Present

Post Doctoral Research Fellow in the Biomedical Engineering Department, (Takayama Lab), University of Michigan

  1. My Fully-Automated Microfluidic System for Cell 
Patterning and Biological StudiesDesign, fabrication and development of microfluidic devices for automated, computer-controlled, long-term cell-passaging outside of incubators, Cells inside my Microfluidic Devicesallowing real-time continuous monitoring and tracking of individual cells (the animation on the left is from one of my experiments, showing cells growing, dividing and crawling over hours/days). The system can also be controlled remotely to make changes to the experimental script in real time, and it sends reports with cell microscopy images at programmed intervals through email.
  2. Development of design standards, protocols and software tools to facilitate the design, sharing, fabrication and actuation control of microfluidic experiments.
  3. Microfluidic devices for cellular mechano-transduction studies and cell alignment in response to transient surface deformation
  4. Alteration of zebrafish embrionic development by targeted microfluidic localization of growth factors.
  5. Self-controlled logic-based microfluidics by embedded circuitry of passive cascading elastomeric components

2004-2005:

Visiting Researcher, RIKEN Research Institute, Wako-shi (Tokyo), Japan and Post Doctoral Fellow in the Physics Department, University of Michigan

  1. Worked on Bioinformatics simulations, modeling and data processing for new data on the mammalian transcriptome.
  2. Worked in a quantum computing and quantum physics lab. Investigated the possibility, theoretical basis and potential implementation of physical cryptographic tokens whose security is ensured by quantum mechanical principles.

1999-2003:

Ph.D. research, Artificial Intelligence Lab, University of Michigan (Ph.D. Advisor: John Holland)

  1. Research in Evolutionary Computation, Gene Circuits and Molecular Genetics Encoding. Studied aspects of molecular encoding that facilitate evolution and exploration of valid and increasingly better solutions to further AI theory on evolutionary computation.
  2. Developed a fast simulation of gene expression and 2D environment for rapid prototyping of gene circuits.
  3. Demonstrated genetic engineering steps for insertion of a simple element of a gene circuit in mammalian cells, showing insertion in bacteria by DNA gel electrophoresis and protein fusion expression in mammalian cells by western blot, immunofluorescent microscopy and GFP fluorescence.
2001-2002

Graduate Student Researcher, Biomedical Engineering Department, University of Michigan

Worked on developing bio-chips in which living cells are embedded in a network of microscale chambers and channels, using the same technology used to fabricate microprocessors and micro-scale robotics. Investigated its potential to try hundreds of simultaneous genetic and chemical manipulations on growing cells for the purpose of testing potential treatments to alter cellular aging in a controlled environment that allows for automated tissue culturing and isolates individual cells and their aging process.

2000-2002:

Graduate Student Researcher / Lab Rotation, Biochemistry Department, Howard Hughes Medical Institute, University of Michigan

Used genetic engineering to create a recombinant gene product that can spread from cell to cell, to investigate the effect of telomerase and cancer genes on cellular senescence without the potential side-effects of irreversible cell immortalization (cancer). Specifically I spliced a viral protein gene, a fluorescent gene (GFP/YFP) and different cancer proteins to generate fusion proteins and transfected them into mammalian cells (COS7). The viral gene allowed these fusion proteins to spread across cells and into the surrounding media and enter the nucleus of other cells, where the cancer protein could override the normal cellular mechanisms,and the fluorescence protein made it possible to see it on a fluorescent microscope in living cells.

1996-1997:

Graduate Student Researcher, Artificial Intelligence Lab, University of Michigan

Worked on real-time planning and control in multi-agent systems (using a procedural reasoning system on projects like the Unmanned Ground Vehicles or the Robocup competition)

1995-1996:

Undergraduate Researcher / Intern, Atmospheric Oceanographic and Space Science, University of Michigan

Developed evolutionary computation systems (coding in C and Java) to find solutions in applications ranging from robotics to image processing and Geo-science.
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 TEACHING EXPERIENCE:

2008-

Research Mentorship for the Biomedical Engineering Design Class (BME450)

2001-2002:

Graduate Student Teaching Assistant for Introduction to Logic Design (EECS270)

2001-2002:

Graduate Student Teaching Assistant for Intro to C++ Programming (EECS280)

1997-1998:

Graduate Student Teaching Assistant for Computer Organization Architecture and Design (EECS370) for two terms.

In official evaluations by students I ranked in the top 25% or better across the University on points like "instructor was effective" and "instructor thoroughly understood the subject matter".
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 WORK EXPERIENCE:

2005-2009:

Scientific Consultant

Developed solutions to scientific problems on a project basis for industrial companies, such as finding a mathematical solution for 3D-trilobe reconstruction from laser projection measurements.

2002-2004:

Senior Software Engineer / Scientist, Leszynsky Group, Seattle. WA

Developed a shape-recognition SDK for tablet-PCs and other pen-based applications that used artificial intelligence and complex pattern recognition to interpret and correct hand-drawn diagrams and sketches over a variety of applications and domains. This new technology was featured in multiple keynote talks by Bill Gates and other Microsoft Executives, and allowed applications like search of part databases from partial rough sketches and animating sketches into physical simulations automatically.
Additionally I developed a biometric recognition algorithm that extracted speed and pressure information from signatures written with a tablet PC pen and used them to perform authentication and cryptography.

2001-2002:

Software Engineer, R&D Dept. at Netarx.com, Bingham Farms, MI

Redesigned existing system to allow scalability, generate network simulations for automated predictions and improvements in a network layout or configuration. Netarx used AI, automated network traffic monitoring and live technicians to prevent network crashes before they occur. Developed a web-based tool written in Java that allowed corporate partners to monitor and navigate through a dynamic visual representation of their entire network in which any network congestion, security breach, or problem is displayed in real time. Additional features included the ability to predict or deduce possible causes for any network problem and automatic notifications to support and service people.

1998-2001:

Senior Software Engineer,
General Inspection Inc.
, Davisburg MI

Developed a new laser gauging technology and software for machines that use laser, ultrasound, and eddy currents to analyze, measure, and sort parts with variable specifications at high speeds (~300 parts per minute). This included data collection, data interpolation to compensate for variable speed/ bouncing/friction, laser signal calibration to compensate for temperature driven fluctuations, automatic shape recognition/analysis/fitting and measurement of relevant features, OLE, statistical software, and database interfaces and OpenGL.

1995-1996:

Summer Intern, Data-Center Division of Park-Davis Pharmaceutical Research (now Pfizer), Ann Arbor, MI

Developed new programs, applications and scripts for 6 NT servers. Helped with migration from VAX systems. Developed an automatic back-up scheme and supervised data back-ups and restores.

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 PUBLICATIONS:

Book Chapters:

  1. Bersano-Begey, T.F., Takayama, S., (2008). "Braille Microfluidics". Lab on a Chip Technologies and Applications, Avi Rasooly and Keith E. Herold, Editors. Horizon Scientific Press, Norwich, UK, to appear in late 2008.
  2. Zhu, X., Bersano-Begey, T., Kamotani, Y., Takayama, S., (2006). "Microbioreactors". Wiley Encyclopedia of Medical Devices and Instrumentation, 2nd edition. J.G. Webster (editior). John Wiley & Sons.
  3. Zhu, X., Bersano-Begey, T., Takayama, S., (2003) "Nanomaterials for Cell Biology". Encyclopedia of Nanoscience and Nanotechnology, American Scientific Publishers ISBN 1-58883-001-2.
  4. Daida, J.M., Hommes, J.D., Bersano-Begey, T., Ross, S.J., Vesecky, J.F., (1996). "Algorithm Discovery Using the Genetic Programming Paradigm: Extracting Low-Contrast Curvilinear Features from SAR Images of Arctic Ice". Advances in Genetic Programming II, P. Angeline and K. Kinnear, Jr. (ed.) Cambridge: The MIT Press.

Biological Journal Articles:

  1. Kamotani, Y., Bersano-Begey, T., Kato, N., Tung, Y.C., Huh, D., Song, J.W., and Takayama, S. (2008). Individually programmable cell stretching microwell arrays actuated by a Braille display. Biomaterials 29, 2646-2655.
  2. Mehta, G., Mehta, K., Sud, D., Song, J.W., Bersano-Begey, T., Futai, N., Heo, Y.S., Mycek, M.A., Linderman, J.J., and Takayama, S. (2007). Quantitative measurement and control of oxygen levels in microfluidic poly(dimethylsiloxane) bioreactors during cell culture. Biomedical microdevices 9, 123-134.
  3. Carninci, P., Kasukawa, T., Katayama, S., Gough, J., Frith, M.C., Maeda, N., Oyama, R., Ravasi, T., Lenhard, B., Wells, C., Kodzius, R., Shimokawa, K., Bajic, VB., Brenner, S.E., Batalov, S., Forrest, A.R., Zavolan, M., Davis, M.J., Wilming, L.G., Aidinis, V., Allen, J.E., Ambesi-Impiombato, A., Apweiler, R., Aturaliya, R.N., Bailey, T.L., Bansal, M., Baxter, L., Beisel, K.W., Bersano, T., et al. (2005). The transcriptional landscape of the mammalian genome. Science New York, NY 309, 1559-1563.
  4. Shim, J., Bersano-Begey, T.F., Zhu, X., Tkaczyk, A.H., Linderman, J.J., and Takayama, S. (2003). Micro- and nanotechnologies for studying cellular function. Current topics in medicinal chemistry 3, 687-703.

Peer-Reviewed Computer Science Publications(with talks):

  1. Bersano-Begey, T.F., (2002). Cellular Programming and Bioware: Computer Evolution of Gene Circuits to Re-Program Living Cells. Proceeding of the Evolutionary Computation in the Industry track in the Genetic and Evolutionary Computation Conference 2002, New York, NY.
  2. Bersano-Begey, T.F., Daida, J.M., Vesecky, J.F., Ludwig, F.L., (1997). A Java Collaborative Interface for Genetic Programming Applications: Image Analysis for Scientific Inquiry. Proceedings of the 1997 IEEE International Conference of Evolutionary Computation, IEEE Press.
  3. Polito, J., Daida, J.M., Bersano-Begey, T.F., (1997). Musica ex Machina: Composing 16th-Century Counter-point with Genetic Programming and Symbiosis. Proceedings of the VI International Conference of Evolutionary Programming (EP97), Angeline et al. (Eds), Springer Press.
  4. Ross, S.J., Daida, J.M., Doan, C.M., Bersano-Begey, T.F., McClain, J.J, (1996). The Wall Following Robot Revisited. Proceedings of the 1996 Genetic Programming Conference, July 28-31, 1996, Stanford University, Cambridge, MA: The MIT Press.
  5. Daida, J.M., Bersano-Begey, T.F., Ross, S.J, Vesecky J.F., (1996). Computer-Assisted Design of Image Analysis Algorithms: Dynamic and Static Fitness Evaluations in a Scaffolded Environment. Proceedings of the 1996 Genetic Programming Conference, July 28-31, 1996, Stanford University, Cambridge, MA: The MIT Press.

Manuscripts in Preparation:

  1. Bersano-Begey, T., and Takayama, S. (2008) Fully-automated microfluidic cell-passaging and cell tracking protected from trypsin exposure. .... in preparation
  2. Shen, Y.C., Bersano-Begey, T., Ali S., Al-Shoaibi, A., Flak, B., Li, D., Perrin, C., Shah, H., Winslow, M., Ramamurthy, P., Chervenak, A., Chen, H., Takayama, S., Barald, K.F. (2008) A microfluidic approach to Mif pathway studies in the zebrafish, in preparation.
  3. Bersano-Begey, T. (2008) When and why do Genetic Algorithms outperform Hill Climbers: revisiting the royal road problem through molecular genetics. ..., in preparation.
  4. Bersano-Begey, T., and Takayama, S. (2008) An open file format and design software to facilitate sharing, reuse, editing, fabrication and rapid design of microchannels. ..., in preparation.
  5. Bersano-Begey, T., and Takayama, S. (2008) A description language and interpreter for complex actuation of microdevices with arbitrary layouts. ...., in preparation.

Computer Science Publications (Proceedings and Posters):

  1. Bersano-Begey, T.F., Daida, J.M., (1997). A Discussion on Generality and Robustness and A Framework for Fitness Set Construction in Genetic Programming to Promote Robustness. Proceedings of the Genetic Programming 1997 conference (late-breaking papers), Stanford University, Cambridge, MA: The MIT Press.
  2. Bersano-Begey, T.F., (1997) Controlling Exploration, Diversity and Escaping Local Optima in GP: Adapting Weights of Training Sets to Model Resource Consumption. Proceedings of the Genetic Programming 1997 conference (late-breaking papers), Stanford University, Cambridge, MA: The MIT Press.
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JOURNAL AND CONFERENCE ACTIVITES:

Reviewer for the International Journal:

  • IEEE Transactions on Evolutionary Computation (1999, 2000, 2003)

Board Member and Referee for the following International Conferences:

  • Genetic and Evolutionary Computation Conference (2002-2008)
  • Evolutionary Computation (2000)
  • Genetic Programming (1997-1998)

LANGUAGE PROFICIENCY:

Bilingual (Fluent in English and Italian), understands Spanish and French, a lot of computer languages (!) plus a few words of Japanese..


RESIDENCY STATUS:

Dual Citizen(USA and Europe ) Since 2008


RESEARCH SKILLS:

Clean Room and Microfabrication: Microprocessors design and fabrication, MEMS, Soft-Lithography
Molecular and Genetic Enginering: Bacterial Transformation, Tissue Culturing and Transfections, Recombinant DNA and Sub-cloning, PCR, Plasmid purification
Biochemical Assays: Protein Synthesis and Purification, Western and Immuno Blotting, electrophoresis assays, etc.
Others: Simulation and Modeling, Fusion Protein Design, Fluorescent Microscopy, DNA-synthesis, etc


 Courses Taken sorted by Field / Department
FieldDepartmentCourse NameCourse Number and Reference
ChemistryGeneral and Inorganic Chemistry I & Lab
General Chemistry and Reactivity
Organic Chemistry
[CHEM 125,126]
[CHEM 130]
[CHEM 210, 211]
BiologyImmunology [BIO 436]
Math Calculus I
Calculus II
Calculus III
Differential Eq.
Honors Linear Algebra, Vector Spaces and Matrix Theory
Probability
Intro Adaptive Systems
[MATH 115]
[MATH 116]
[MATH 215]
[MATH 216]
[MATH 419]
[MATH 425]
[MATH 550]
Physics General Physics I & Lab
General Physics II & Lab
Quantum Mechanics & Modern Particle Physics
Physics of Nonlinear Dynamical Systems
[PHYS 140, 141]
[PHYS 240,241]
[PHYS 390]
[PHYS 413]
Statistics Statistics and Data Analysis
Probability
Prob. Methods in Engineering
[STAT 402]
[MATH 425]
[AERO 453]
Anatomy and Cell Biology Cellular Biotechnology
Molecular Cell Biology
[ANAT 504]
[ANAT 530]
Biological Chemistry BioInformatics Seminar
Biochemistry Lab
Survey in BioInformatics
Protein Structure
DNA & Nucleic Acids
Gene Expression
Enzyme Kinetics
Catalysis
Critical Analysis (equivalence)
Biochemistry Research (lab rotation, HHMI at UM)
Signal Transduction, Regulation, and Development
[BIOCHEM 511]
[BIOCHEM 516]
[BIOCHEM 526]
[BIOCHEM 570]
[BIOCHEM 571]
[BIOCHEM 572]
[BIOCHEM 573]
[BIOCHEM 574]
([BIOCHEM 597])
[BIOCHEM 600]
[BIOCHEM 701]
Cell and Developmental Biology Organogenesis of Complex Tissues I: Gut
Organogenesis of Complex Tissues II: Neural Crest
Organogenesis of Complex Tissues III: Skeletal Muscle
[CDB 680]
[CDB 681]
[CDB 682]
Human Genetics Gene Structure and Regulation[HGEN 541]
MicroBiology and Immunology Cellular Biotechnology
Microbial. Genetics
Microbial Physiology and metabolism
Cancer Cell Biology
Molecular and Cellular Viral Pathogenesis
DNA Tumor Viruses
RetroViruses
Graduate Seminar
[MICROBIO 504]
[MICROBIO 604]
[MICROBIO 606]
[MICROBIO 553]
[MICROBIO 615]
[MICROBIO 616]
[MICROBIO 617]
[MICROBIO 812]
NeuroScience  NeuroBiology of Learning
Cogn. & Integr.
[NEUROSCI 615]
[NEUROSCI 616]
Aerospace Engineering Prob. Methods in Engineering
Spacecraft Technology
Space Plasma Physics
[AERO 453]
[AERO 582]
[AERO 597]
Atmospheric, Oceanographic, and Space Science Engineering Space System Design for Environmental Observation
Space System Design for Space Sciences
Space Plasma Physics
[AOSS 465]
[AOSS 556]
[AOSS 597]
BioMedical Engineering BioMedical Materials
MRI Magnetic Resonance Imaging  
Ethics & Enterprise
Micro- and Nano-Technology for Biology
Biomedical Engineering Research
Biomedical Engineering Graduate Seminar
[BIOMED 410]
[BIOMED 483]
[BIOMED 550]
[BIOMED 599-105]
[BIOMED 590]
[BIOMED 800]
Electrical
Engineering
and Computer
Science
Circuits
[EE]

Circuit Analysis
Transistors and Digital Electronics
(Monolithic Amplifier Circuits)*
Solid State Devices Lab
VLSI Design (Very Large Scale Integration)
MEMS: Micro Electro Mechanical Systems
(Digital Integrated Circuits)*
Nano-Electronics and Nano-Fabrication

[EECS 216:EECS 210+211]
[EECS 317:EECS313]
([EECS 413])*
[EECS 423]
[EECS 427]
[EECS 498-1]
([EECS 523])*
[EECS 598-1]

Hardware Design and Architecture
[EE/CE]

Logic Design
CPU Organization, Architecture & Design
Design of MicroProcessor Systems
Switching Theory and Sequential systems

[EECS 270]
[EECS 370]
[EECS 373]
[EECS 478]

Programming
[CS/CE]

ANSI C Programming & Data Str.
Data Structures & Algorithms. in C++
Parallel Programming and Algorithms

[EECS 280]
[EECS 380]
[EECS 587]

Technical
Applications
[CS/CE]

Operating Systems
Computer Networks
Artificial Intelligence
Virtual Reality
Web and Internet
Knowledge Systems
Electronic Commerce
Advanced Operating Systems
Advanced Databases
Advanced Artificial Intelligence
Adaptive Systems
Cryptography
Neural Models

[EECS 482]
[EECS 489]
[EECS 492]
[EECS 498-2]
[EECS 498-3]
[EECS 543]
[EECS 547]
[EECS 582]
[EECS 584]
[EECS 592]
[EECS 594]
[EECS 598-2]
[EECS 695]

Theory
[CS/CE]

Discrete Structures
Linear Spaces & Matrix Theory
Probabilistic Methods in Engineering
Foundations of Theoretical Computer Science
Theorethical Computer Science
Quantum Computing

[EECS 303]
[EECS 400]
[EECS 401]
[EECS 476]
[EECS 574]
[EECS 598-4]

Engineering
Communication
& Research
Technical Writing and Communication
Genetic Programming
Intelligent Agents Plan Recognition
Cognitive Modeling
Software Engineering Technical Seminars

[TECH-COMM 498]
[EECS 499]
[EECS 599]
[PSYC 808]
[EECS 880]

Material Science Engineering Fundamentals of Material Science Engineering
Biomedical Materials and Applications
[MSE 250]
[MSE 410]
Mechanical Engineering (Intro to Robotics)*([ME 567])*
Nuclear Engineering Elements of Nuclear Engineering[NE&RS 400]
Complex Systems[PSCS]Adaptive Systems
Empirical analysis of Non-Linear Systems
Computer Modeling
Dynamical Complex Systems
[PSCS 510]
[PSCS 520]
[PSCS 530]
[PSCS 541]
Applied Physics Applied Physics Grad Seminar [APHYS 514]
Kinesiology Legal Aspects of Sport
Seminar in Motor Control
Exercise Physiology and Nutrition
Current Issues in Kinesiology
Philosophy of Science and Research in Kinesiology
Independent Study on Muscle Growth, Strength, and Training Strategies
[KIN 503]
[KIN 520]
[MVS 542]
[KIN 610]
[KIN 615]
[KIN 682]
BioPhysics Electrical BioPhysics and Cellular Neurophysiology
Enzymes, Proteins, and Nucleic Acids
[BIOPHYS 417]
[BIOPHYS 570, 571]
Philosophy General
Issues in Bio-Ethics
Space, Time & Einstein's Relativity
Ethical Analysis
History of Ethics
Philosophy of Science
Current Philosophy - The Self
Philosophy of Language
[PHIL 1x1, 2x1]
[PHIL 356]
[PHIL 423]
[PHIL 429]
[PHIL 433]
[PHIL 602]
[PHIL 611]
[PHIL 615]
EconomicsMicro-Economic Theory[ECON 501]
Psychology General
Adaptive Systems
Psychology Graduate Proseminar
Master's Thesis Project
Neural Models
Personality Psychology
Cognitive Modeling
[PSYC 2x1]
[PSYC 594]
[PSYC 600]
[PSYC 619]
[PSYC 640]
[PSYC 653]
[PSYC 808]
OtherAutocad 13
Political Science
History
English Composition
[ENGR 1x1]
[POLSCI 2x1]
[HIST 1x1]
[ENGL 1x1, ENGL 125]
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*note: These 3 classes were attended but not taken for credit.