Shannon Hwang

incoming MEng @ MIT

🗓️ as of 6/4/2020, i’m:

studies

degrees

current:

MEng in

computer science

, concentrating in

artificial intelligence (AI)



undergrad:

EECS

major &

energy studies

minor,

MIT '20


There’s a lot I haven’t explored yet – but, of what I’ve seen, I like AI, data science, and algorithmic design.

I am particularly interested in thinking about how to leverage the power of computer science in advancing environmental efforts, and have taken classes covering relevant mechanical engineering and policy principles.

coursework

Spring 2020

  •  
    6.042 Math for Computer Science
  •  
    6.041 Introduction to Probability
  •  
    6.UAT Oral Communication
  •  
    11.003 Methods of Policy Analysis
  • HAA.2063/GENED 1102 Making Change When Change is Hard

Fall 2019

  •  
    6.419 Statistics, Computation, and Applications
  •  
     
    6.S082 Principles of Modeling, Simulations and Control for Electric Energy Systems
  •  
     
    2.650 Introduction to Sustainable Energy
  •  
    IDS.521 Energy Systems and Climate Change Mitigation
  • 15.011 Economic Analysis for Business Decisions

Spring 2019

  •  
    6.033 Computer Systems Engineering
  •  
    6.858 Computer Systems Security
  •  
    1.020 Engineering Sustainability
  •  
     
    11.167 Global Energy: Politics, Markets, and Policy

Fall 2018

  •  
    6.031 Elements of Software Construction
  •  
    6.008 Introduction to Inference
  •  
    6.003 Signals and Systems
  •  
     
    12.385 Science, Politics, and Environmental Policy
  • 6.911/2 Engineering Leadership
  •  
    11.002 Making Public Policy

Spring 2018

  •  
    6.141 Robotics: Science and Systems
  •  
    6.006 Introduction to Algorithms
  •  
    2.005 Thermal Fluids I
  •  
    8.21 Physics of Energy
  • 21M.361 Electronic Music Composition I

Fall 2017

  •  
    6.036 Introduction to Machine Learning
  •  
    2.003 Dynamics and Control I
  •  
    2.001 Mechanics and Materials I
  • 7.012 Introductory Biology
  • 21M.301 Harmony and Counterpoint I
  • 21M.401 MIT Concert Choir

Spring 2017

  •  
    6.S08 Interconnected Embedded Systems
  •  
    6.004 Computation Structures
  •  
    2.00B Toy Product Design
  • 18.03 Differential Equations
  • 9.00 Intro to Psychological Science

Fall 2016

  • 8.02 Physics II
  • 18.02 Calculus
  • 5.111 Principles of Chemical Science
  • 21L.004 Reading Poetry

IAP 2018

  •  
    UROP: Clinical Machine Learning Group

IAP 2017

  •  
    6.057 Introduction to MATLAB
  •  
    6.179 Introduction to C and C++
  •  
    UROP: Electrochemical Energy Lab
  • UROP: Economics Department

IAP 2016

  •  
    6.S080 Introduction to Python
  • 8.20 Introduction to Special Relativity
projects

all

code

ai

environment

mech

⚡

electricity price arbitrage with thermal energy storage (ongoing)

internship @ National Renewable Energy Laboratory, summer 2020

  • developing techno-economic optimization model of a thermal energy storage system to evaluate its feasibility for electrifying industrial processes
  • developed algorithm to improve realism of volatility in modeled 2050 electricity spot prices
  • Department of Energy SULI internship in NREL's Strategic Energy Analysis Center

🤥

identifying climate change disinformation (ongoing)

undergraduate research @ MIT CSAIL, spring 2020

  • created logistic regression model to classify climate change-related disinformation on Twitter
  • analyzed network of disinformation spreaders on twitter
  • undergraduate research in CSAIL's ALFA group

🔍

Improving NLP model interpretability

internship @ Microsoft, winter 2020

  • evaluated performance and developed API for the Introspective Rationale Explainer, an interpretability model that identifies important features used by Natural Language Processing (NLP) classifiers
  • contribution was written about here and released in Microsoft's interpret-text, an open-source package providing a unified interface for different NLP interpretability models
  • winter internship in the Microsoft AI Development Acceleration Program (MAIDAP)

🚗

generating point clouds using deep learning

internship @ Cruise, summer 2019

  • researched and designed a neural network for generating point clouds
  • "spare time" research project as summer intern on Cruise's simulation team

🏥

Diabetes prediction from insurance claims

undergrad research @ MIT Clinical Machine Learning Group, IAP/Spring 2019

  • developed an extract-transfer-load (ETL) pipeline for a claims dataset containing over 300 million patients
  • updated group’s diabetes onset prediction model to use newly processed insurance claims

📚

MIT unified submission and grading system

6.033 final project, spring 2019

  • designed specifications for a hypothetical class assignment grading system
  • final project for MIT class 6.033 (Computer Systems Engineering)
  • report here

❗

Change detection and classification of point clouds

internship @ MIT Lincoln Laboratory, summer 2018

  • developed algorithm for change detection in aerial LiDAR point clouds of large urban areas
  • researched algorithms for identifying buildings and foliage in point clouds

🤖

Visual robotic navigation using deep neural networks

6.141 final project, spring 2018

  • trained deep neural network enabling robotic navigation with only camera images
  • final project for MIT class 6.141 (Robotics: Science and Systems)
  • video here

🌧️

Machine learning classification of atmospheric convection

undergraduate research, spring 2018

  • researched application of random forest algorithms to classifying convection events, part of a larger effort to involve machine learning in modeling atmospheric convection
  • undergraduate research in MIT EAPS (Earth, Atmospheric, and Planetary Sciences) department

👁️

Handheld iris scanner

undergraduate project, spring 2017

  • designed handheld infrared scanner in SolidWorks for taking pictures of human irises
  • undergraduate project in MIT D-Lab
  • pictures here

🛩️

Design and CFD analysis of UAV wingtip fairing

internship @ CEiiA, summer 2017

  • designed wingtip fairing currently used on group’s unmanned aerial vehicle using Solidworks
  • assessed aerodynamic impact of fairing via Computational Fluid Dynamics (CFD) analysis in ANSYS Fluent
  • summer internship at CEiiA Centre of Engineering and Product Development in Portugal as part of MISTI (MIT International Science and Technology Initiatives)
  • MISTI writeup here

🎶

Harmoni

6.S08 final project, spring 2017

  • created microcontroller system to generate harmonies to user-sung input
  • system interfaced with server-hosted database
  • final project for MIT class 6.S08 (Interconnected Embedded Systems)
  • documentation here

🦈

Shark Splash!

2.00B final project, spring 2017

  • worked in team to ideate, design, and iteratively prototype a novel water-shooting shark toy
  • final project for MIT class 2.00B (Toy Product Design)
  • pictures here

🚴

Visualizing rideshare user activity

undergraduate project, spring 2017

  • created and presented web app visualizing use of PEV, a tricycle ridesharing system
  • undergraduate project in MIT Media Lab's Changing Places group
  • video here

💻

Mad Skillz

mit web programming competition, winter 2017

  • learned how to make a website by creating a dynamic database-backed website in a team for mock skill-sharing company
  • presented product to ~10 industry sponsors
  • made semifinals
hobbies

some (other) things I like:

🎵 music

mostly just listening to tunes; in undergrad, I was part of Syncopasian, an acapella group. Currently, I'm trying to get better at playing the ukelele.

🥘 food (& travel)

cooking and baking (and eating) is fun! Food is also a perhaps worryingly important part of any travel I plan.

📖 reading

big sci-fi/fantasy fan, though I'm currently trying to catch up on “classics” and broaden my non-fiction horizons. Recommendations welcome!

🤷‍♀️ misc

doing things in the great outdoors (such as skiing and hiking), exploring new places, reading poetry, and learning random trivia.



questions? hwangys [@] mit [.] edu