Hyukjae Alexander Kwark

Education

Carnegie Mellon University, Pittsburgh, PA Fall 2014 - Spring 2022

Master of Science in Computer Science May 2022

Bachelor of Science in Chemical Engineering with minor in Computer Science May 2020

Relevant Courses: Multimodal Machine Learning Reinforcement Learning

Introduction to Deep Learning Convex Optimization

Introduction to Machine Learning Probabilistic Graphical Models

ComputerVision Principles of Software Construction

AI Representation and Problem Solving Probability and Mathematical Statistics

Seoul Science High School (for gifted students), Seoul, Korea Jan. 2010 - Feb. 2013

Research Experience

• Lee Lab: Carnegie Mellon University Pittsburgh, PA

Master Student Researcher Jun. 2021 - present

Project: Interpreting GANs with Memory Concept Attention(MoCA)

• Grossmann Research Group: Carnegie Mellon University Pittsburgh, PA

Undergraduate Student Researcher Aug. 2019 - May. 2020

Project: Integration of parallelism into Pyomo GDPopt solver

• Binge Drinking Prevention Group: CMU HCI Social Computing Pittsburgh, PA

Research Assistant Jan. 2019 – May 2019

Project: Binge drinking preventing application development

• Ulissi Group: Carnegie Mellon University Pittsburgh, PA

Summer Undergraduate Research Apprenticeship (SURA) May 2018 – Dec. 2018

Project: All-atom molecular simulations for ssDNA dispersion on MoS2 2D sheet

• Grossmann Research Group: Carnegie Mellon University Pittsburgh, PA

Research Assistant Sep. 2018 – Dec. 2018

Project: Plasmo Algorithms development

Work Experience

• Introduction to Deep Learning (IDL) TA Pittsburgh, PA

Teaching Assistnat Jan. 2021 – May 2021

• Amazon AWS, FinX Processing Pittsburgh, PA

Software Development Engineer Intern May 2020 – Aug. 2020

• Exxon Mobil IT, Fuel Lubes and Chemicals IT, Research and Engineering Houston, TX

Software Developer Intern May 2019 – Aug. 2019

• Secretary General Staff Office 17^th Infantry Division ROKA Incheon, Korea (ROK)

Interpreter of the 17^th ID Commanding General Aug. 2015 – May 2017

Working Papers

• Caption-Guided Visual Storytelling with Cross-Modal Attention

(with Steven Feng and Chaitanya Narisetty), 2021, manuscript (expect to submit to ICML 2022).

• Attention in Topic Modeling: Contextualized Structured Dynamic Embedded Topic Model

(with Kailing Lo and Chloe Peng), 2021, manuscript (expect to submit to ICML 2022).

Projects

• Generating Accurate Human Face Sketches from Text Descriptions Pittsburgh, PA

Team Project for Introduction to Deep Learning Nov. 2020

• Design of a dimethyl-ether(DME) synthesis plant from syngas Pittsburgh, PA

Team Project for Chemical Process Systems Design Nov. 2019

• Deep Fake Detection Pittsburgh, PA

Team Project for Introduction to Deep Learning Oct. 2019

• AirPad - 19 Hack CMU Pittsburgh, PA

https://devpost.com/software/air-pad-z915lw Sep. 2019

• Game Player Stats Framework - Principles of SW construction Pittsburgh, PA

https://github.com/chorongi/GameStatsFramework Apr. 2019

• Fuel Loss Prediction Pittsburgh, PA

Team Project for Chemical Engineering Thermodynamics II Dec. 2018

• My Name is Not Hey - 18 Hack CMU Pittsburgh, PA

https://devpost.com/software/handraise Sep. 2018

• Organic Synthesis Tool – Fundamentals of Programming & Computer Science Pittsburgh, PA

https://bit.ly/2eQu0Ms Apr. 2015

Honors / Awards

• CMU College of Engineering Dean’s List Fall 14, Spring 15, Fall 17, Fall 18, Fall 19, Spring 20

• Hack CMU: Top 4 winning Teams (1^st Place for Aptiv) Sep. 2019

• Exxon Mobil Cloudjam: 1^st Place Jul. 2019

• CMU Principles of Software Construction: Best Framework Apr. 2019

• AIChE Chem-E-car Mid-Atlantic Regionals: 9^th Place Apr. 2019

• Alpha Kappa Psi Brainteaser Competition: Finalist Mar. 2015

Leaderships

• ChemE Car Bleach and Dye Stopping Mechanism Team Leader Fall 2019 – Dec 2020

• ChemE Car Thermoelectrics Team Leader Fall 2018 – Spring 2019

• Introduction to Machine Learning Peer Mentor Fall 2018

Skills

• Programming Languages: Python, Java, C, Matlab, Tcl, Julia, HTML, SML, WhyML

• Machine Learning: Pytorch, Scikit-Learn, Pandas, Numpy, SciPy, MatplotLib, Jupyter, AWS, Azure

• Laboratory: UV-spectrometer, ESI, MALDI, GC, LC, NMR, IR

• Languages: English (Native), Korean (Native), Chinese (Elementary), French (Elementary)

Activities

• ChemE Car (Team Leader) Fall 2018 – Fall 2020

• ChemE Car (Member) Fall 2017 – Fall 2020

• AIChE (Member) Fall 2016 – Fall 2020

• Korean Student Association (Member) Fall 2014 – Fall 2020

• Dancer’s Symposium (Member) Fall 14, Spring 18, Spring 19