Education
2022-2024 Research Master in Computer and Information Science, University of Pennsylvania.
Advisor: Prof. Mingmin Zhao
2018-2021 - Bachelor of Science in Computer Science with a Math minor, University of Minnesota, Twin Cities.
Advisors: Prof. Ju Sun & Prof. Shashi Shekhar & Dr. Christopher Tignanelli
Mentor: Dr. Feng Yang (Google Research)
Host: Dr. Myungjin Lee (Cisco Research)
Publication
[1] A paper will be appearing in MobiCom’24.
[2] Le Peng, Gaoxiang Luo, Sicheng Zhou, Jiandong Chen, Rui Zhang, Ziyue Xu, Ju Sun. An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing. Accepted to npj Digital Medicine.
[arXiv] [Code]
[3] Le Peng, Hengyue Liang, Gaoxiang Luo, Taihui Li, Ju Sun. Rethink Transfer Learning in Medical Image Classification. Accepted to BMVC’23.
[arXiv] [Code]
[4] John Lee Burns, Zachary Zaiman, Jack Vanschaik, Gaoxiang Luo, Le Peng, Brandon Price, Garric Mathias, Vijay Mittal, Akshay Sagane, Christopher Tignanelli, Sunandan Chakraborty, Judy Wawira Gichoya, Saptarshi Purkayastha, Ability of Artificial Intelligence to Identify Self-Reported Race in Chest X-Ray Using Pixel Intensity Counts. Accepted to the Journal of Medical Imaging (JMI), 2023.
[JMI]
[5] Le Peng, Gaoxiang Luo, Andrew Walker, Zachary Zaiman, Emma K Jones, Hemant Gupta, Kristopher Kersten, John L Burns, Christopher A Harle, Tanja Magoc, Benjamin Shickel, Scott D Steenburg, Tyler Loftus, Genevieve B Melton, Judy Wawira Gichoya, Ju Sun, Christopher J Tignanelli, Evaluation of Federated Learning Variations for COVID-19 diagnosis using Chest Radiographs from 42 US and European hospitals. Accepted to the Journal of the American Medical Informatics Association (JAMIA), 2022.
[JAMIA]
[6] Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir Markovic, Alexey Leontovich, and Raymond Moore. 2022. SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’22). Association for Computing Machinery, New York, NY, USA, 2860–2870.
[ACM Digital Library]
Experience
Xylo AI
Machine Learning Engineer (Oct 2023 - )
- R&D (Skills: Kubernetes, Azure AI/ML)
University of Pennsylvania
CIS PhD Research Fellow (Sep 2022 - Aug 2023)
Cisco Research
AI/ML Intern (Feb 2022 - July 2022) \
Research Fellow (May 2021 - May 2022)
-
Contributed to a novel scalable federated learning (FL) system by implementing abstraction topologies to simply FL deployment; filed 2 patents (US17828582 and US18101620) enhancing model convergence and communication efficiency. The system is now open-sourced at Project Flame.
(Host: Dr. Myungjin Lee)[Slide](Tech Stacks: K8s, Docker, MLflow, Git) -
Facilitated cross-functional collaboration between tech and medical teams to develop an automated multi-modal rib fracture detection system on chest X-rays for real-time deployment. This work is featured on two undergraduate research conferences NCRC 2022 and NCUR 2022.
(Skills: data analysis, project management, communication)
(Advisor: Prof. Christopher Tignanelli & Prof. Ju Sun)
University of Minnesota
Undergrad Research Assistant (Aug 2020 - Dec 2021)
- Proposed a novel truncated transfer learning (TL) method in medical imaging classification under data-poor regimes, that consistently leads to superior performance compared to other TL strategies. Our method is versatile for various deep neural networks and adaptable to other tasks (e.g., segmentation). (See publication [3])
(Tools: PyTorch, NumPy) (Advisor: Prof. Ju Sun) - Improved AUPRC of chest x-ray COVID-19 classification by 9% compared to local training, by implementing real-data federated learning with several partner institutes. The case study is featured in the white paper – Federated Learning for Healthcare Using NVIDIA Clara. (See publication [5])
(Tools: NVFlare, MONAI) (Advisor: Prof. Ju Sun) - Outperformed current state-of-the-art point set classifiers in terms of accuracy and F1-score on our tumor cell datasets by designing a novel Spatial-interaction Aware Multi-Category deep neural Network (SAMCNet), contributing location representation and point pair attention layers for multi-categorical point set classification. See Publication [6].
(Tools: PyTorch) (Advisor: Prof. Shashi Shekhar)
Honors/Awards
- 2021 – Google CSRMP Scholar
- 2021 – Undergraduate Research Scholarship (UMN) x2
- 2021 – Maximillian Lando Scholarship (CS&E Merit Scholarship)
- 2018-2021 – Department of Computer Science and Engineering Dean’s List
Services
Reviewer
- Conference(Paper): CVPR 2024(4), UAI 2024(5), MICCAI 2024
- Minnesota Undergraduate Research & Academic Journal, Math and Computer Science Reviewer (Oct. 2020 - May 2022)
Volunteer
- NeurIPS 2021, ICML 2021, ICLR 2021
Organizer
- Web Chair (MMLS 2024)
Teaching
Fife-Penn CS Academy
K-8 Coding Instructor (Fall 2022)
- Taught Scratch programming to 2nd-5th graders at Andrew Hamilton School, guiding them to create games including a ‘Flappy Bird’ variant.
University of Minnesota, Twin Cities
Undergrad Teaching Assistant (Fall 2020 - Fall 2021)
- CSCI 2011 Discrete Math (Fall 2020 & Spring 2021)
- Assisted 122 students in total in office hours.
- Graded 385 students’ homework and exams.
- CSCI 2033 Computational Linear Algebra (Fall 2021)
Peer Tutor (Fall 2020)
Tutor calculus, linear algebra, introduction to physics and statistics, and some programmings in Python and C (Fall 2020).
Patents
[1] Appl. No.: US63/626,860. Filed during PhD study at UPenn.
[2] Appl. No.: US18/101,620. Filed during internship at Cisco Research.
[3] Myungjin Lee, Gaoxiang Luo, Ramana Rao V. R. Kompella. Reconciling computing infrastructure and data in federated learning. Appl. No.: US17/828,582, Pub. No.: US 2023/0385708 A1. Filed during internship at Cisco Research.
Talks
Application of Artificial Intelligence to Help Detect Rib Fractures in Radiographs
- April 2022 | NCUR 2022 by Council on Undergraduate Research
- December 2021 | NCRC 2022 by Harvard College Undergraduate Research Association
Wetland Mapping Using Spatial Variability Aware Neural Networks (SVANN)
- April 2021 | Spring Undergrad Research Symposium 2021 by UMN
Media
[1] Interning with Cisco Research, In Cisco Emerging Tech & Incubation (ET&I) Blog. Aug. 12, 2022. https://eti.cisco.com/blog/interning-with-cisco-research
[2] First gen student chosen for Google mentorship program, In Departmental News. Nov. 19, 2021. https://cse.umn.edu/cs/news/first-gen-student-chosen-google-mentorship-program
[3] Three students present at spring Undergraduate Research Symposium, In Departmental News. May 12, 2021. https://cse.umn.edu/cs/news/three-students-present-spring-undergraduate-research-symposium
[4] CSpotlight: Experiencing research as an undergrad, In Departmental News. May 12, 2021. https://cse.umn.edu/cs/news/cspotlight-experiencing-research-undergrad
[5] G Luo. Application of Artificial Intelligence to Help Fight COVID-19, In Minnesota Undergraduate Research & Academic Journal (MURAJ), Vol.4 No.3, 2021. https://pubs.lib.umn.edu/index.php/muraj/article/view/3876
Reading List
Spring 2024
Probability Theory & Computational Mathematics by Prof. Joel A. Tropp
Fall 2023
Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong.
Fall 2022
Fundamentals of Wireless Communication by David Tse and Pramod Viswanath
Pattern Recognition and Machine Learning (PRML) by Christopher Bishop
Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning by Jean Gallier and Jocelyn Quaintance
Fall 2021
The Modern Mathematics of Deep Learning
Deep learning: a statistical viewpoint
Spring 2021
Foundations of Machine Learning by by Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar
Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz and Shai Ben-David