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thmolena/README.md

🌿 Welcome to my Github 🖐️

🧸 Biography

At the age of 20, Molena received multiple acceptance letters and graduate assistantships from both the Pure and Applied Mathematics PhD programs. After careful consideration, she was honored to officially start her journey towards the Ph.D. Degree at the age of 21, as an incoming first-year Ph.D. Student in (Pure) Mathematics at North Carolina State University, which she fondly referred to as her most treasured and remarkable _.phdjourneyat21._

In depth, Molena's most admired and honorable _.phdjourneyat21._ stems from her beginnings as a secondary school student specializing in English at Tran Dai Nghia High School For The Gifted at the age of 15. She then transitioned to become a high school student specializing in Vietnamese Literature at VNU-HCM High School For The Gifted, one of the top-tier high schools in Vietnam. At the age of 17, she received the acceptance letters and full-ride scholarships from multiple undergraduate programs in English and English Literature in the United States. At the age of 18, she received her last academic award in Vietnamese Literature, in Ho Chi Minh City, Vietnam, before moving to the United States. Two years later, at the age of 20, Molena received the acceptance letters and graduate assistantships from multiple Ph.D. programs in both Pure and Applied Mathematics. To prepare for a smooth transition to the (Pure) Mathematics PhD Program, she also participated in the Budapest Semesters in Mathematics program during the Spring semester of 2021. At the age of 23, she successfully completed her second year in the Ph.D. program in Applied Mathematics, passed all required written qualifying exams, finished one of her most memorable semesters in graduate school, with a GPA of 4.1665 out of 4.0000, and received her Master of Science Degree in Applied Mathematics.

▪️ How to reach Molena: Molena's LinkedIn

▪️ Pronouns: She/Her/Hers

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🔬📚 Research Experience

▪️ Earlier, I was fortunate to receive the opportunities to present my single-author paper titled “Take-Away Impartial Combinatorial Games on Hypergraphs and Other Related Geometric and Discrete Structures” (DOI: 10.48550/ARXIV.2203.09696) at six different SIAM conferences. During the Spring semester of 2022, I presented that research at the SIAM Conference on Parallel Processing for Scientific Computing (PP22), the SIAM Conference on Uncertainty Quantification (UQ22), and the Joint Mathematics Meetings (JMM22). During the Fall semester of 2021, I presented that research at the Young Mathematicians Conference (YMC21), the SIAM Southeastern Atlantic Section Annual Meeting (SEAS21), and the Annual SIAM Central States Section Conference (CSS21).

▪️ Subsequently, I received two National Science Foundation Funded Ph.D. Research Internships to work in two different lab rotations. During these internships, I learned how to utilize the High Performance Computing clusters, and the GPUs to solve problems in different fields, from Computational Biology, to Computer Science, Electrical, and Computer Engineering.

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🚀 Github Stats

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🔑 Coding Portfolio

Topics/ Areas / Programming Languages Projects
Natural Language Processing (NLP) / Transformers / Recurrent Neural Networks (RNNs) / Long Short-Term Memory (LSTM) Networks / Gated Recurrent Units (GRUs)
  • Natural Language Processing Projects (available upon request)
  • Long Short-Term Memory Networks in Payment Channel Networks
  • Recurrent Neural Networks Time Series Demand Forecasting
  • Machine Learning / Deep Learning / Data Science / Matrix Theory
  • Deep Learning, Maching Learning, Matrix Theory Notes
  • English as a Second Language Assistant
  • Single Cell Multi-Omics Alignment
  • Machine Learning Projects
  • Numerical Analysis Projects (Ph.D. Thesis)
  • Data Science Projects (available upon request)
  • Deep Learning Projects(available upon request)
  • Four Kaggle Competitions
  • Uncertainty Quantification
  • Advanced Mathematics for Engineers and Scientists
  • SEIR Project
  • Hypergraph Combinatorial Game
  • Shapes Assistant
  • Convolutional Neural Network Model from Scratch
  • Convolutional Neural Network Project on Shapes
  • Shapes Classification
  • Artificial Neural Network Models from Scratch
  • Detecting Fake News
  • Road Lane Line Detection
  • Sentiment Analysis. Programming language: R.
  • Detecting Parkinson's Disease
  • Color Detection with Python
  • Coursera Machine Learning, Neural Networks and Deep Learning courses
  • Android/Mobile Apps
  • UC Hackathon Prescription Tracker Molena was a leader of a team of 4 during this 24-hour RevolutionUC Hackathon.
  • Flixster
  • To Do App
  • Simple Tweet
  • Movie Pot
  • Instagram Shot of Happiness App
  • Instagram Post
  • Javascript /HTML /CSS
  • Musicophile MayMay MWonderland
  • DerbyHacks2019
  • Chore Door Game
  • Bingo Game
  • Tic Tac Toe
  • Travel Destination
  • Software Design and Implement with Python
  • Riemann Sum and Definite Integrals
  • Matrix Transformation
  • Encrypting and Decrypting with Python
  • Translation of Nucleotides
  • Oh, the Places You'll Go!
  • Scanning the Barcode
  • Childhood Game Rock Paper Scissors
  • Chinese Zodiac Animals
  • Master Number
  • Game of Nim
  • The invisible .html
  • Django Learning
  • Snake Game with Python
  • Regression with Python
  • Do Math with Matrix
  • Data Structures with C++
  • Binary Addition
  • Byte
  • Random Pixel Generator
  • Card Game
  • Animal Guessing Game
  • Beetle Game
  • Fraction Calculator
  • Swing Game
  • Piano Game for Toddlers
  • Work of Art
  • Maze Game
  • JPMorgan Chase & Co. Software Engineering Virtual Experience
  • JPMorgan First Task
  • JPMorgan Second Task
  • MATLAB
  • Machine Learning in MATLAB
  • Numerical Analysis in MATLAB
  • Coding Practice
  • Coding practice with Javascript
  • Coding practice with Python 1
  • Coding practice with Python 2
  • Coding practice with Python 3
  • Turtle Art
  • Modules
  • Mad Lib
  • Adventure
  • Unit Testing
  • Django Learning
  • Funky Functions
  • Making-boustrophedon
  • Math Quiz on Cars
  • Python Classes
  • Excel Visual Basic for Applications Projects
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    ⌛️ Outreach Activities

    ▪️ Lastly, I have been a representative for the Society of Industrial Applied Mathematics (SIAM) at the North Carolina State University (NCSU) Student Chapter since September 2022. In January of 2022, I was a project mentor at the "Tenth Annual Conference to Increase Diversity in Mathematical Modeling and Public Health" (2022 MIDAS-CCDD), which was hosted by the MIDAS Coordination Center in cooperation with the Center for Communicable Disease Dynamics (CCDD) at Harvard T. H. Chan School of Public Health. In October of 2021, I was a conference moderator at the Graduates Achieving Inclusion Now (GAIN) Conference on measuring graduate students' success, allyship, and mentorship.

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    Pinned Loading

    1. UC_Hackaton_Prescription_Tracker UC_Hackaton_Prescription_Tracker Public

      "Prescription Tracker" is an app created in a 24-hour RevolutionUC Hackathon. Molena Nguyen was a leader in a team of 4 members. The app creates an interface for the doctor and another interface fo…

      Java

    2. English_as_a_Second_Language_Assistant English_as_a_Second_Language_Assistant Public

      Forked from Samriddhakc/ESLAssistant

      This is a 24-hour Hackathon Project. Molena Nguyen was one of four members in the team. English as A Second Language Assistant uses image captioning method to generate caption based on picture to h…

      Jupyter Notebook 1

    3. Recurrent-Neural-Networks-Time-Series-Demand-Forecasting Recurrent-Neural-Networks-Time-Series-Demand-Forecasting Public

      Computer Science Ph.D. Summer Research Internship in designing sequence to sequence models on Time Series Data for Product Demand Forecasting.

      Jupyter Notebook 1

    4. LSTM-in-Payment-Channel-Network LSTM-in-Payment-Channel-Network Public

      Computer Science Ph.D. Research Internship in designing sequence to sequence models on Time Series Data for Payment Channel Networks.

      Jupyter Notebook 1

    5. Shapes_Assistant Shapes_Assistant Public

      "Shapes Assistant" generates images of different shapes (with or without noise), and uses Convolutional Neural Networks (CNNs) to classify the shapes, from triangles up to decagons.

      Jupyter Notebook 1

    6. Kaggle-Competitions Kaggle-Competitions Public

      My Kaggle Competitions

      Jupyter Notebook 1