Hi, I'm
Mila Bileska

New physics may be hiding in the rarest signals; finding it is a challenge of inference, computation, and precision that I pursue relentlessly.

About Me

Advancing discovery at the intersection of physics and technology.

Ph.D. student in Physics at Princeton University, awarded the merit-based Centennial Fellowship in the Natural Sciences
for doctoral study. Specializing in high-energy experimental physics, with a focus on firmware development, ML-enabled
trigger systems, and hardware-accelerated data processing for beyond-the-Standard-Model searches and Higgs studies at the
Compact Muon Solenoid (CMS) experiment. Graduate of Princeton with a Bachelor of Arts in Physics and Minor in Computer
Science, conferred with Honors in Physics and awarded the Allen G. Shenstone Prize in Physics. Affiliated with CMS at CERN and the U.S. Muon Collider Collaboration.

SELECTED PUBLICATIONS

Design and FPGA Implementation of WOMBAT: A Deep Neural Network Level-1 Trigger System May 2025
for Jet Substructure Identification and BoostedH → b¯b Tagging at the CMS Experiment
• Publisher: Journal of Instrumentation

A review of non-Lorentz invariant variable speed of light theories August 2024
• Publisher: Classical and Quantum Gravity (IOP Science)

Spectroscopy and modeling of 171Yb Rydberg states for high-fidelity two-qubit gates June 2024
• Publisher: Physical Review X

At the heart of my work is the quest to uncover beyond the Standard Model processes: from the development of real-time intelligent trigger systems to searching collision data for anomalous signals, I have actively explored the interplay between scientific research and technology.

My CV

EXPERIMENTAL PHYSICS DOCTORAL STUDENT

Programming Languages

C, C++, C#, Java, Python, JavaScript, HTML, CSS, ARM Assembly, Vivado HLS, LaTeX

Simulation Tools

Geant4, MadGraph5_aMC@NLO, Powheg, SIMION, Fusion 360, AutoCAD

Firmware

Field Programmable Gate Arrays

Libraries

[Firmware: Xilinx Vitis, hls4ml, PetaLinux][Physics Research: CMSSW, alpaka, FastJet, Coffea, GSL,
LLAMA, MadGraph, mplhep, PyROOT, ROOT, SIMION, Uproot, awkward][Machine Learning: Keras,
QKeras, LightGBM, MXNet, PyTorch, Scikit, TensorFlow, XGBoost] [Data Processing and Visualization:
Graphviz, Matplotlib, OpenCV, Pandas, Pydot, SciPy, Tabulate, h5py]

Languages

English (C2), Macedonian (native), Croatian (B2), Serbian (B2), Bosnian (B2), Bulgarian (B2), Montenegrin
(B2), French (A2), Slovenian (A2)

Experience

AND PROJECTS

- Princeton University
January 2026 – Present
Project: Developing an open-source PyTorch library for training Logic Gate Networks, a class of differentiable
models that learn Boolean logic expressions and compile into discrete logic-gate representations for efficient,
hardware-friendly inference.
Role: Core developer
Contributions: Implemented model features and developed a firmware-testing interface to validate Logic Gate
Network models against hardware-oriented implementations.
Principal Investigators: Prof. Isobel Ojalvo, Dr. Lino Gerlach
Developer and Researcher of Logic Gate Networks​
Project: Logic Gate Networks for SmartPixels Applications
- CMS CERN, Fermilab, Princeton University
September 2025 - Present
Project: Developing Logic Gate Network algorithms for real-time, on-detector ASIC-based filtering in future collider
experiments.
Role: Project lead and main developer
Contributions: Designing ML-driven filtering algorithms for resource-constrained ASIC deployment, implementing and testing LGNs in firmware, and performing FPGA synthesis, with emphasis on low-latency inference and hardware-efficient model representations.
Principal Investigators: Prof. Isobel Ojalvo, Dr. Lino Gerlach
SmartPixels Researcher and Developer
Developer of FPGA Firmware and Emulator for the CMS GCT Sum Card and MHH Module
- CMS, CERN
September 2025 – Present
Project: Develop and test firmware and emulator software for the GCT Sum Card and MHH Module, components of the Phase-2 CMS trigger system’s FPGA network.
Role: Project lead and main developer
Contributions: Implemented FPGA firmware and emulator logic for real-time trigger processing; used custom routing to deploy and test the design in hardware (APx board).
Principal Investigator: Prof. Alexander Savin
Developer of GCT Sum Card and MHH Module
ML-Based Trigger System Developer for H->bb̅ Detection
- CMS, CERN
January 2024 - May 2026
Publication: JINST TH 001
Project: Developed machine-learning algorithms for the CMS Level-1 Trigger, targeting boosted H->bb̅ jet tagging, QCD background rejection, and anomaly detection.
Role: Project lead and main developer.
Contributions: Led the development, CMSSW evaluation, and FPGA implementation of WOMBAT, a boosted-jet clustering and triggering algorithm.
Principal Investigator: Prof. Isobel Ojalvo
WOMBAT Developer and Evaluator
Intern at Princeton’s Quantum Computing and Error Correction Laboratory
- Princeton University
June 2023 - August 2023
Publication: Physical Review X
• Project: Conducted ¹⁷¹Yb Rydberg spectroscopy to support development of a refined multichannel quantum defect theory model for high-fidelity two-qubit gates.
• Role: Co-researcher.
• Contributions: Performed experimental spectroscopy, data collection, and quantum-defect modeling.
• Principal Investigator: Prof. Jeff Thompson
Published Pre-University Research in the Journal of Physics and Astronomy

My Photo Gallery

Research and smiles 🙂

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