University of Southern California
Los Angeles, CA, USA
FORTIS Lab
FORTIS stands for Foundations Of Reliable, Transparent, and Intelligent Systems. Inspired by the Latin word fortis — meaning strong or resilient — the FORTIS Lab aims to build AI that is robust in performance, reliable under uncertainty, and responsible in deployment. Our work spans the full spectrum from foundational algorithms to open, scalable systems, integrating core advances in anomaly and out-of-distribution detection, LLM safety and trust evaluation, and graph and multimodal learning. Through open-source tools and interdisciplinary collaboration, FORTIS drives AI research that is both scientifically rigorous and societally impactful — enabling reliable intelligence for science, security, and society.
1. PhD Openings and Application Guidelines I will recruit 0 or 1 Ph.D. student for Fall 2026 -- however, I usually admit the students that I (or my close coauthors) have worked with. We also have openings for undergraduate and graduate interns all the time, both at USC and elsewhere (preferably in North America for time zone compatibility).
2. Email for Connection and Form Submission - For all positions, please fill out this Google Form: Application Form and also email the following details (subject line: "Interested in PhD/Intern at Fall 26"): Magic Words to fortis@usc.edu - please include Trojan in the email title to demonstrate that you have read these instructions carefully.
3. Compensation. Ph.D. students will receive the full support (tuition waiver + stipend is $40,000 in 2024-25) outlined by the CS department. TA is always guaranteed, and we will try to give you as many RA as possible. We do not have paid opportunities for undergraduate and master RA; it is not allowed to pay remote interns at USC :( Please consider this before reaching out.
4.1. GPU Clusters. In November 2023, we deployed fortis-prima, a high-performance GPU server equipped with dual AMD EPYC 7763 ("Milan") CPUs, 1TB DDR4 memory (64×16GB), 15TB SSD storage, and 8× NVIDIA RTX 6000 Ada GPUs (released Q4 2022; up to 1.5× faster than the previous A6000 Ampere). In Fall 2025, we are deploying fortis-nova, a second GPU server with support for 8× NVIDIA RTX 6000 Blackwell Max-Q GPUs (96GB each, released in 2025). It will launch with 4 GPUs installed, and the remaining 4 will be added in 2026/27 to complete the full 8-GPU configuration.
4.2. Cloud Credits. We recently (Aug 2024) get $20,000 AWS credit; thank you, Amazon. We also get generous computing credits from NSF :)
Meet the real bosses of the lab: Our bosses ensure the lab stays stress-free, doors are scratched to perfection, 3D printers are sparkling clean, and all visitors are greeted with enthusiasm. They might not be applying for Ph.D. positions, but they are certainly accepting treat applications!
Affiliated with Bourne Li
Expertise: Scratching doors
Affiliated with Bourne Li
Expertise: Cleaning 3D printers
Affiliated with Tiankai Yang
Expertise: Barking and running
Affiliated with Chenxiao Yu
Expertise: Electronics Slayer
Connect with them: many of my Ph.D. students are looking for internships for Summer 2026 -- please reach out to them (or me for an intro).
2nd year, Joined Fortis in Aug 2024
Multimodal Learning, Trustworthy ML
Amazon ML Fellowship, Capital One Fellowship
Ph.D. Student (li.li02@usc.edu)
4th year, Joined Fortis in Jan 2024
OOD Detection, Time Series
Ph.D. Student (yuehanqi@usc.edu)
4th year, Joined Fortis in Jan 2024
GNN, Anomaly Detection
Capital One Fellowship
Ph.D. Student (haoyanxu@usc.edu)
co-advised by Mengyuan Li
2nd year, Joined Fortis in Aug 2024
Anomaly Detection, LLM
Ph.D. Student (tiankaiy@usc.edu)
Connect with them: many of the Undergraduate/Master RA are looking for Ph.D./full time job for Fall 2026 -- please reach out to them (or me for an intro).
Multimodal / Generative AI
Master Student (peilinca@usc.edu)
ML, Software Dev.
Master Student (huixian@usc.edu)
NLP, Distributed Systems
Master Student (jli77629@usc.edu)
Mathematics, CS
Undergraduate RA (nimase@usc.edu)
CS, Applied Math
Undergraduate CURVE Fellow (siuw@usc.edu)
Generative AI, Human-centered AI
Master Student (zoewang@umd.edu)
We greatly appreciate the contributions of our past members (see their placement and papers with us):