Computational Bioengineering Survey
Please fill out the following as honestly as possible.
Answers will be used to help design team projects and choose teams.
No answers will be used in grading.
* Required
Email address
*
Your email
First Name
*
Your answer
Last Name
*
Your answer
Math Proficiency
*
Minimal
1
2
3
4
5
Proficient
Communication Skills
*
None
1
2
3
4
5
Very Strong Communication Skills
Working Style Preference
*
Prefer to work solo
1
2
3
4
5
Prefer to work in teams
Matlab Experience
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None
1
2
3
4
5
Extensive
Number of Programming Languages Known
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None
0
1
2
3
4
5
6
7
8
9
10
Extensive
Interest in Computational Bioengineering
*
None
1
2
3
4
5
Very interested
Projected Investment in Mastering Class
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None
1
2
3
4
5
High Investment
Projected Need to Analyze Images
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None
1
2
3
4
5
Strong Need
Projected Need to Analyze Molecular Data
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None
1
2
3
4
5
Strong Need
Experience Analyzing Data
*
None
1
2
3
4
5
Extensive
Figure 1
Would you be able to explain the above graph (Figure 1) scientifically? Please take a 5-10 min to read about the figure. Article is accessible here:
http://science.sciencemag.org/content/348/6235/660
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Not at all
1
2
3
4
5
Yes. Perfectly
Figure 2
Would you be able to explain the above figure (Figure 2) scientifically? Please take a 5-10 min to read about the figure. Article is accessible here:
http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002724
*
Not at all
1
2
3
4
5
Yes. Perfectly
Research Area
*
Engineering - no specified research yet
Tissue Engineering, Biomaterials and/or Drug Delivery
Biomedical Imaging and Diagnostics
Cellular and Biomolecular Engineering
Computational Bioengineering
Synthetic Biology
Chemistry or Chemical Engineering
Medicine
Other:
Have you learned any of the following topics before? Please check any that you've learned.
Machine Learning: Clustering
Dimensional Reduction: PCA, manifolds
Image-Based Analysis
Decision Trees
Rule-Based Modeling and/or other Artificial Intelligence Methods
Protein-Protein Network Modeling
ODE (Ordinary Differential Equation) Models of Molecular Signaling
PDE (Partial Differential Equation) Models / Finite Element & Volume Models
Graph Theory
Control Theory
Optimization Algorithms
What do you hope to get out of this course?
*
Your answer
If you have a choice of emphasis for the class, would you prefer to learn data-driven or theoretical methods? Data-driven = based on data obtained from experiments. Theory = model drives new hypotheses.
*
Data-driven methods (e.g., machine learning, how to handle biological data & images, and plan experiments)
Theory-driven methods (e.g., differential equations to model tissue growth)
No preference
Please rank the following topics
least interesting = 1 to most interesting = 5
Artificial intelligence methods to predict sports performance (or daily fitness)
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1
2
3
4
5
Machine learning methods to predict whether a cancer patient will respond to a drug
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1
2
3
4
5
3D model of tissue growth in a biomimetic organ
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1
2
3
4
5
Computationally optimizing wearable antennas for human space travel
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1
2
3
4
5
Molecular signaling models of a bacteria cell
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1
2
3
4
5
Analyzing astronaut data to determine how zero-gravity impacts cardiac output
*
1
2
3
4
5
Any topic or subject you'd particularly like to model or analyze?
*
Your answer
We have a few opportunities to invite guest speakers to class who use modeling in their careers. Please rank who would be of interest to you.
least interesting = 1 to most interesting = 5
NASA researcher studying genetic responses to space travel
*
1
2
3
4
5
Entrepreneur developing clinical data tools that learn from human interactions
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1
2
3
4
5
Cognitive scientist studying brain-machine interfaces
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1
2
3
4
5
NASA engineer studying how to make wearable antenna technologies for space travel
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1
2
3
4
5
Computer scientist developing image analysis methods to automatically recognize healthy vs. diseased neurons
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1
2
3
4
5
Graduate students or fellows who can share career options / advice in the computational biology field
*
1
2
3
4
5
Any person you'd particularly recommend as a guest speaker?
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Your answer
Of the following, which (if any) career paths interest you?
*
Biotech industry (Pharma, Calico, etc.)
Data science industry (Google, Twitter, etc.)
Space science industry / research (SpaceX, JPL)
Medical practice
Academia - biomedical
Academia - computational
Entrepreneurship
Other:
Required
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