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Graduate Research Assistant Resume Example

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MZ
GRADUATE RESEARCH ASSISTANT
Summary

Meticulous and energetic Research Assistant and Analyst with background in Mathematics and Computer Science, eager to further develop research skills when advancing understanding into Data World. Full of creativity and obsessed with practicing the new ideas step by step.

Skills
  • Python
  • SQL
  • MATLAB
  • JavaScript
  • HTML
  • R
  • C++
  • Hadoop (AWS)
  • Sparks (Scala, PySpark)
  • Tableau
  • TensorFlow
  • Scikit-learn
  • Pandas
Experience
Graduate Research Assistant / Company Name - City, State11/2019 - Current
  • Tried to check the existence, uniqueness and stability of the backward Euler method to conservation laws system.
  • Transformed the conservation laws system into functional equations and found the existence and uniqueness of the solutions.
  • The stability could be proved under scaler case.
Group Member / Company Name - City, State10/2020 - 12/2020
  • The goal was to design the best molecule for certain targets.
  • Translated the molecule formula into a tree vector. Optimize the tree vector to the target. Retranslate the optimized the vector to the molecule formula. Use three different neural networks to achieve the three functions.
  • The success rate of retranslating an optimal molecular was 43% improved compared to the previous work. The speed was improved 75%.
Graduate Research Assistant / Company Name - City, State08/2020 - 12/2020
  • Programmed an AI to solve Raven's problems.
  • Used CogSketch to generate the semantic descriptions for all graphs in problems.
  • Found the patterns among semantic descriptions and thus deduced the possible semantic descriptions for the solutions.
  • Among the choices found the one best fitting the possible semantic descriptions. Brought back the choices to questions for inspection.
  • The correct rate was over 83%.
Graduate Research Assistant / Company Name - City, State08/2019 - 06/2020
  • Proved the existence, uniqueness and stability of the solutions to the non-local traffic problems.
  • Used Godunov method to approximate the solution and Entropy inequalities to calculate the convergence rate which was square-root.
Graduate Research Assistant / Company Name - City, State02/2020 - 05/2020
  • Found the function from 2-d data with labels showing whether the points were above the the function or not.
  • Used the loss function with a parameter norm penalty. Applied logistic regression to divide the data into 2 cases. For each fixed first-dimension values, tried dichotomy method to find the specific boundary function.
  • This was a new attempt to find the boundary function and the error was lower than 3%.
Graduate Researcher / Company Name - City, State02/2020 - 05/2020
  • Used SEIRD Model to construct the differential equation system and the Euler method to find the numerical solutions.
  • Trained SEIRD model by using the adapted gradient descent. Predicted the future data based on the trained model and estimated the error by using transition of the covariance.
  • The error between the predicted data and the actual data was smaller than 13%.
Student Research Assistant / Company Name - City, State09/2016 - 05/2017
  • The target was to find the change of electronic current inside the animals' cells.
  • Solved the diffusion equation with special stiff source function using differential quotients
  • The result showed that lots of peaks would appear periodically and diminish gradually when they spread.
Student Research Assistant / Company Name - City, State04/2016 - 06/2016
  • The target was to rebuild 3-d vessel from 2-d sections.
  • Found the largest incircle for each section. The set of the incircles' centers hinted the trace of the axis of the vessel.
  • Used Lagrange interpolationand smooth skills to simulate the axis as well as the radius of the balls centered at every point on the axis and constructed the vessel by overlapping all these balls.
Group Leader / Company Name - City, State01/2016 - 02/2016
  • Solved the second question in the Mathematical Contest in Modeling (MCM), 2016: chose the best method of recycling space junk to achieve the largest benefit.
  • Set up a model based on the combination of general benefits model and modified Malthusian Theory of Population.
  • Developed some weighting algorithms to find the time with the maximum benefits and unraveled many differential equations to determine which method was best.
Student Research Assistant / Company Name - City, State09/2015 - 12/2015
  • Solved a dynamic programming problem in which N pieces of paper were reviewed n times by M people, who at most can review m pieces.
  • Generated a reasonable evaluative function assessing different arrangements by objective matching level and subjective willingness. Used the Max-flow Min-cut Theorem from optimization theory to identify the best arrangement.
Education and Training
University Of Science And Technology Of China - City06/2017Bachelor of Science: Applied Mathematics
Pennsylvania State University - City, StateExpected in 05/2022Ph.D.: Mathematics
Georgia Institute Of Technology - City, StateExpected in 05/2022Master of Science: Computer Science
Websites, Portfolios, Profiles
  • https://www.linkedin.com/in/minyan-zhang-444995128/
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Resume Overview

School Attended

  • University Of Science And Technology Of China
  • Pennsylvania State University
  • Georgia Institute Of Technology

Job Titles Held:

  • Graduate Research Assistant
  • Group Member
  • Graduate Researcher
  • Student Research Assistant
  • Group Leader

Degrees

  • University Of Science And Technology Of China - City 06/2017 Bachelor of Science : Applied Mathematics
    Pennsylvania State University - City, State Expected in 05/2022 Ph.D. : Mathematics
    Georgia Institute Of Technology - City, State Expected in 05/2022 Master of Science : Computer Science

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