CV
Education
Work Experience
- Remote Research Internship: October 2023 - April 2023
- Machine Learning Engineer (January 2022 - January 2023)
- Worked on end-to-end machine learning pipelines using Spark, HDFS, AWS Sagemaker
- Improved ETL pipelines, used Bayesian hyperparameter optimization on existing model
Research Experience
- Fall 2023 - Present : Graduate Research Assistant
- Spring 2023 - Fall 2023 : Research Intern
- Fall 2018 - Spring 2019: Undergraduate Research Assistant
- Summer Undergraduate Research Intern
- UC Irvine
- Worked on applications of machine learning/deep learning
- Fall 2017 - Fall 2018: Undergraduate Research Assistant
Skills
- Java
- Scala
- Linux Server
- HPC, AWS (Sagemaker, S3)
- MATLAB
- Python
- numpy, scipy, pandas
- PyTorch, Keras, sklearn
- C
Publications
- Compression of Spatiotemporal Deep Learning Frameworks for Characterizing Visual Cortex Responses to Natural Movies
L Chen, U Hasson (In Preparation) - Untangling Causality and Complexity in Prefrontal Cortex during Dynamic Tasks by Cross Embedding
L Chen, GM Pao, G Sugihara (In Preparation) - Feature Augmented Hybrid CNN for Stress Recognition Using Wrist-based Photoplethysmography Sensor
N Rashid, L Chen, M Dautta, A Jimenez, P Tseng, MA Al Faruque - IEEE Engineering in Medicine & Biology Society - Data-driven Energy-efficient Adaptive Sampling Using Deep Reinforcement Learning
BU Demirel, L Chen, MA Al Faruque - ACM Transactions on Computing for Healthcare - Romanus: Robust Task Offloading in Modular Multi-sensor Autonomous Driving Systems
L Chen, M Odema, MA Al Faruque - IEEE/ACM International Conference on Computer-Aided Design - Hardware Trojan Detection using Graph Neural Networks
Y Rozhin, C Luke, Y Shih-Yuan, FMA Al - IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems - DOMINO: Domain-Invariant Hyperdimensional Classification for Multi-Sensor Time Series Data J Wang, L Chen, MA Al Faruque - IEEE/ACM International Conference on Computer Aided Design (ICCAD)
- Neural Contextual Bandits-Based Dynamic Sensor Selection for Low-Power Body-Area Networks
BU Demirel, L Chen, MA Al Faruque - ACM/IEEE International Symposium on Low Power Electronics and Design - Software and Hardware Systems for Autonomous Smart Parking Accommodating both Traditional and Autonomous Vehicles
MA Al Faruque, M Odema, L Chen - Pacific Southwest Region University Transportation Center - Participant- and Disease-Related Factors as Independent Predictors of Treatment Outcomes in the RESTORE-IMI 2 Clinical Trial: A Multivariable Regression Analysis
Ignacio Martin-Loeches, Andrew F Shorr, Marin H Kollef, Jiejun Du, Maria C Losada, Amanda Paschke, C Andrew DeRyke, Michael Wong, Erin H
Jensen, Luke Chen - Open Forum Infectious Diseases - An Evaluation of Representational Similarity Analysis for Model Selection and Assessment in Computational Neuroscience
L Chen - International Conference on Pattern Recognition and Artificial Intelligence
Teaching
- Previous:
- Teaching Assistant for CS61B: Data Structures and Algorithms (UC Berkeley)
- Instructor: Paul Hilfinger
- Teaching Assistant for MATH54 : Linear Algebra and Differential Equations (UC Berkeley)
Graduate Coursework (KAIST)
- Riemannian Geometry (MAS 621)
- Functional Analysis (MAS 641)
- Probability Theory (MAS 550)
- Complex Function Theory (MAS 541)
- Advanced Topics in Deep Reinforcement Learning (AI 707)
- Advanced Deep Learning Theory (AI 709)
Coursework Completed (UC Berkeley)
Undergraduate
- Honors Multivariable Calculus (MATHH53)
- Linear Algebra and Differential Equations (MATH54)
- Discrete Mathematics (MATH55)
- Abstract Algebra (MATH113)
- Complex Analysis (MATH185)
- Real Analysis (MATH104)
- Second Course in Linear Algebra (MATH110)
- Metric Differential Geometry (MATH140)
- Numerical Analysis (MATH128A)
- Linear Systems & Signals (EE16B)
- Data Structures (CS61B)
- Machine Structures (CS61C)
- Algorithms and Complexity Theory (CS170)
- Machine Learning (CS189)
- Operating Systems and Systems Programming (CS162)
- Probability Theory (STAT134)
Graduate
- Combinatorial Algorithms and Optimization (CS270)
- Convex Optimization (EE227B)
- Information Theory (EE229A)
- Nonlinear Systems Theory (EE222)
- Stochastic Processes in Systems (EE226A)
- Statistical Signal Processing (EE225A)
- Mathematical Statistics (STAT210A)
- Measure Theory and Topology (MATH202A)
References
- Arun Ross, Martin J. Vanderploeg Endowed Professor, Department of Computer Science and Engineering, Michigan State University
- Research Collaborator
- Email: rossarun@cse.msu.edu
- Shirantha Welikala, Professor, Department of Electrical and Computer Engineering, Stevens Institute of Technology
- Research Collaborator
- Email: swelikal@stevens.edu
- Uri Hasson, Professor, University of Trento
- Research Collaborator
- Email: uri.hasson@unitn.it
- Nikhil Srivastava, Professor of Mathematics, UC Berkeley & Senior Scientist, Simons Institute for Theory of Computing
- Undergraduate Advisor
- Email: nikhil@math.berkeley.edu
- E2-1 Room 4213, 291 Daehak-ro Yuseong-gu, Daejeon, 34141, Republic of Korea
- Phone: +82-10-9634-0252
- E-mail: lchen64@kaist.ac.kr or lchen64@berkeley.edu
