David Soto Group Doctoral researcher

• Running psychophysics experiments, fMRI experiments, data analysis (M/EEG, fMRI, behavioral, etc)

• Ongoing project:

  a. [Benchmarking decoding models of Spanish/Basque conscious/unconscious noun words in various conditions (i.e. shallow/deep process, social conditions)](https://github.com/nmningmei/METASEMA_encoding_model)
  
  b. [How computer vision and semantic representation models provide insights of unconscious processing of object images and their semantic categories](https://github.com/nmningmei/unconfeats)
  
  c. How the history of behavioral pattern could predict the future confidence rating, [a](https://github.com/nmningmei/decoding_confidence_dataset), [b](https://github.com/nmningmei/Decode_confidence_dataset)
  
  d. [Ecoding-based representational similarity analysis](https://github.com/nmningmei/metasema_encoding_based_RSA)
  

Fall 2014 – Fall 2017 David Poeppel Lab (NYU)
MA research assistant

• Running psychophysics experiments, MEG experiments, data analysis
• Ongoing project: Investigating hemispheric asymmetry in perceiving Mandarin Tones, in conditions of hums or lexical tones.

Spring 2015 – Fall 2016 Catherine Good Lab (CUNY-Baruch)
MA research assistant

• Experimental subject testing, data collection, data analysis
• Data analysis on how sense of belonging in math moderating self-estimation in different confidence levels

Spring 2016 – Spring 2018 Timothy Ellmore Lab (CUNY-North)
MA research assistant

• Develop python/Matlab Input/Output interacting scripts/protocol for EEG data processing
• Selecting features to detect target brain wave patterns (i.e. spindles, k-complex, sleeping stages) in the signal
• Automatic pipeline of non-supervised models to detect spindles (https://osf.io/fc3u5/ and get the data here)

Fall 2016 – Spring 2017 Data Science RoAD-Trip (Fund awarded - $4000) The RoAD-Trip Joint Data Science Plan (Mentor: Gaurav Pandey)

• Implementing machine learning algorithms to detect target brain wave patterns (i.e. spindles, k-complex)
• Implementing machine learning algorithm to classify sleeping stages within subjects (https://github.com/adowaconan/Spindle_by_Graphical_Features)

Spring 2017 – Fall 2017 Denis Pelli Lab
Research assistant

• Study of noise dynamic in visual grouping effect

Spring 2014 American Cancer Society Cancer Prevention Study – 3
Volunteer, Research assistant

• Recruiting subjects, social media research

Fall 2012-Summer 2014 ASU Changemaker center, Tempe, AZ
Volunteer

• Creating communities of support around new solutions/ideas

Fall 2009, Spring 2010 Canton Life Hot Line, Guangzhou, China
Intern

• Consulting, recording consulting results

Fall 2010, Spring 2011 Research team, prisoner emotional health, Guangzhou, China
Intern

• Collecting data about prisoners’ mental health assessments

Fall 2012 to Spring 2018 Varsity Tutor Tutor

• Multivariate Calculus
• Linear Algebra
• Trigonometry
• Statistics (i.e. research methods, analysis methods, simulation, signal detection theory)
• Mandarin
• Programming data analysis (Python, R, and Matlab)

March 2013 to present
Translator, MCC Translation, Phoenix, AZ

Excellent – Microsoft Office Word, Excel, Presentation, Poster Design

Excellent – Matlab

• Parametric tests
• Nonparametric tests
• Factorial analysis
• Principle Component Analysis
• Psychophysics Toolbox
• Signal Processing Toolbox
• Data Visualization
• Scripts of Functions.

Excellent – Python

• Parametric tests
• Nonparametric tests
• Factorial analysis
• Principle Component Analysis
• Bayesian Model building (PYMC3)
• Model Evaluation, Data Visualization, Lambda Functions,
• Extensions of Python such as MNE-python (specialize in EEG, MEG data analysis), Nipype (specialize in fMRI)
• Pandas
• Deep learning (Tensorflow/Keras, pytorch, JAX)
• Import and export excel, matlab, SPSS, and SAS files. Extract, transform, and load databases.

Excellent – SPSS

• Parametric tests
• Nonparametric tests
• Factorial Analysis
• Principle Component Analysis
• Independent Component Analysis

Excellent – R

• Parametric tests
• Nonparametric tests
• Factorial Analysis
• Principle Component Analysis
• probabilistic programming
• Shiny – interactive graphs

Good – Letax Editor

• Equations and special effects in presentation slides, posters

Beginner – Julia

• Julia ikernel interacting with Jupyter projects
• Deep learning (FLUX)