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NICKLAS BOYER

ABOUT

A California native, Nicklas earned a B.A. from UC Berkeley before competing internationally in rugby. During this period he earned an MBA but kept an avid interest in neuroscience. 2020 and the lockdown afforded him the opportunity to return to school at UCSD to study cognitive science.  He has since immersed himself in machine learning techniques

 

EXPERIENCE

Work Experience / Lab Experience / Internships / Volunteer

SARAH CREEL SPEECH AND LANGUAGE LAB UCSD

  • Reviewed relevant clinical and technical papers on phoneme structure

  • Analyzed spectrogram data to identify landmarks indicative of specific vowel pronunciations

  • Performed statistical analysis of data 

Research Assistant

ANDREA CHIBA LAB- FEAR AND LEARNING

  • Studying hippocampal circuits using rat/robot models

  • Analyze rat models using remote GPU. Pairing behaviors with real-time EEG data

  • Trained neural nets on EEG labeled data to create more realistic rat like behavior in the robots

RA for PhD candidate Eric Leonardis; 1/2021-present

INTERNATIONAL RUGBY ATHLETE

  • Full time professional competing in domestic and international competition​

USA Rugby

 

EDUCATION

UC SAN DIEGO

Post-Baccalaureate Cognitive Science: 2020

  • Completed a robust course load centered around the biological basis of cognition, machine learning techniques, and neural signal processing

UC BERKELEY

Finance, 2016

  • Earned a B.A in Finance while competing as a varsity student athlete and working on campus.

  • Varsity Athletics Academic Excellence award

 

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

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Clean Officespace
Clean Modern Desk

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AWARDS & HONORS

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CONTACT

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