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GEOFFREY LIZAR

ABOUT

(5-10 Sentences Explaining)
Who are you?
What are your goals?
What are your interests?
What type of job do you want?
Why you think you would be good at that job?

 

EXPERIENCE

Work Experience / Lab Experience / Internships / Volunteer

JOB (WHERE YOU WORKED - NAME OR COMPANY)

Position/title - Time - Location

Describe your responsibilities in concise statements led by strong verbs. Focus on those skills and strengths that you possess and that you have identified as being important to your field. Try to incorporate industry specific key words. Show potential employers exactly how you will fit their position and their company. 


JOB (WHERE YOU WORKED - NAME OR COMPANY)

Position/title - Time - Location

  • Be sure to vary your action words. You do not want all your descriptions to sound the same. Use present tense for those activities which are ongoing and past tense for those with which you are no longer involved.

  • Avoid using "I," "and," "the," and the use of any pronouns and prepositions.

Whenever possible, quantify your accomplishments and responsibilities. That is, use numbers, amounts, dollar values, and percentages (e.g., "Increased monthly sales by forty percent," "Supervised and trained five new employees," "Handled daily receipts totaling $3000," "Designed 14 costumes for local production of").

  • Remember: You should spell out numbers under 10 and use numeric symbols for numbers 10 and over. However, there are always exceptions.

JOB (WHERE YOU WORKED - NAME OR COMPANY)

Position/title - Time - Location

  • Avoid summarizing or describing what a company or organization you worked with did or does. Describe your responsibilities and accomplishments in relationship to the job/organization, not the job/organization itself.

  • Limit your description to the three or four most important points.
    Example:

    The Swim Club, Anywhere, PA
    Assistant Manager/Head Lifeguard
    Summers 20XX-20XX

    • Ensured safety of patrons and guests; resolved patron concerns

    • Supervised and trained six lifeguards on swim club policies and rules

    • Developed and maintained schedules for lifeguards, private swim lessons, and pool functions using Excel

    • Assisted manager in overall swim club operations

 

EDUCATION

UNIVERSITY/COLLEGE NAME - LOCATION

Major / Degree - Time of Graduation

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UNIVERSITY/COLLEGE NAME - LOCATION

Major / Degree - Time of Graduation

This is your item description. Use this space to add a description of the services, products, team members or any other items you want to highlight on your site. Have a lot to say? Easily turn any item into a full page by clicking ‘Create a page from this item’ in the edit panel.

 

CV

Skills & Accomplishments

COGS 18. INTRODUCTION TO PYTHON

This class will teach fundamental Python programming skills and practices, including the “Zen of Python.” Students will focus on scientific computing and learn to write functions and tests, as well as how to debug code using the Jupyter Notebook programming environment.

COGS 108. DATA SCIENCE IN PRACTICE

Data science is multidisciplinary, covering computer science, statistics, cognitive science and psychology, data visualization, artificial intelligence and machine learning, among others. This course teaches critical skills needed to pursue a data science career using hands-on programming and experimental challenges.

COGS 100. CYBORGS NOW AND IN THE FUTURE

Covers the theories of situated, distributed, enactive, and embodied cognition. Explains how cyborgs are a natural consequence of our current understanding of embodied minds embedded in culturally shaped niches; how mental systems can be distributed over other people and things.

COGS 109. MODELING AND DATA ANALYSIS

Exposure to the basic computational methods useful throughout cognitive science. Computing basic statistics, modeling learning individuals, evolving populations, communicating agents, and corpus-based linguistics will be considered

COGS 118B. INTRODUCTION TO MACHINE LEARNING

A rigorous introduction to machine learning, topics include maximum likelihood estimation, Bayesian parameter estimation, clustering, principal component analysis, and some application areas

COGS 189. BRAIN COMPUTER INTERFACES

This course will discuss signal processing, pattern recognition algorithms, and human-computer interaction issues in EEG-based brain-computer interfaces. Other types of brain-computer interfaces will also be discussed.

COGS 138. NEURAL DATA SCIENCE

Project-based course in which students will use computational notebooks to perform exploratory data analyses and to test hypotheses in large neuroscience datasets, including the differences between unique neuron types, leveraging text mining of the neuroscience literature, and human neuroimaging analyses.

COGS 118C. NEURAL SIGNAL PROCESSING

This course will cover theoretical foundations and practical applications of signal processing to neural data. Topics include EEG/field potential methods (filtering, Fourier (spectral) analysis, coherence) and spike train analysis (reverse correlation, spike sorting, multielectrode recordings). Some applications to neural imaging (optical microscopy, fMRI) data will also be discussed.

 

PROJECTS

Take a Look

PROJECTS TITLE

Short paragraph about 3-4 sentences, describe what your project was and who you worked with, what the goal was, main methods and results, and then link to github.

Link to Github
Clean Officespace
Clean Modern Desk

PROJECT

This is your Project description. Whether your work is based on text, images, videos or a different medium, providing a brief summary will help visitors understand the context and background. Then use the media section to showcase your project!

Contact

PROJECT

This is your Project description. Whether your work is based on text, images, videos or a different medium, providing a brief summary will help visitors understand the context and background. Then use the media section to showcase your project!

Contact
Clean Officespace

This is your Project section closing paragraph. Invite your readers to take action, such as getting in touch to work on an upcoming project together.

Learn More
 

AWARDS & HONORS

NAME OF AWARD

Location - Time Awarded

1-2 Sentences of what the award if for
This is your item description.
Use this space to add a description of the services, products, team members or any other items you want to highlight on your site.

LIST ITEM TITLE

Item Subtitle

1-2 Sentences of what the award if for
This is your item description.
Use this space to add a description of the services, products, team members or any other items you want to highlight on your site.

NAME OF AWARD

Location - Time Awarded

1-2 Sentences of what the award if for
This is your item description. Use this space to add a description of the services, products, team members or any other items you want to highlight on your site.

 

CONTACT

Contact

Email:
Phone number:

LinkedIn
Github
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