Jackie Lin
Email: jackiel4 [at] illinois [dot] edu
jackie.jq.lin [at] gmail [dot] com
Hi I'm Jackie! I'm a doctoral student in the Computer Science department at the University of Illinois at Urbana-Champaign, advised by Professor Minje Kim and Professor Paris Smaragdis. I am interested in machine learning for room acoustics, spatial audio, and generative audio.
I received a Master's degree in Acoustics and Audio Technology from Aalto University in Espoo, Finland, advised by Professor Sebastian J. Schlecht. There, I worked on a deep learning system for estimating late reverberation and blind reverberation estimation.
Before starting my audio journey, I got my undergraduate degree in architecture and urban planning at MIT, and worked in Colorado as an architect. Check out my Projects page to see what I've been working on recently and some foundational projects. :)
PUBLICATIONS
2026
Gencho: Room Impulse Response Generation from Reverberant Speech and Text via Diffusion Transformers
Jackie Lin, Jiaqi Su, Nishit Anand, Zeyu Jin, Minje Kim, Paris Smaragdis
In the 2026 International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
2025
Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation
Jackie Lin, Georg Götz, Hermes Sampedro Llopis, Haukur Hafsteinsson, Steinar Guðjósson, Daniel Gert Nielsen, Finnur Pind, Paris Smaragdis, Dinesh Manocha, John Hershey, Trausti Kristjansson, and Minje Kim
In Generative Data Augmentation for Real-World Signal Processing Applications an ICASSP 2025 Satellite Workshop
2023
Deep Learning with Audio: An Explorative Syllabus for Music Composition and Production
Koray TahiroÄŸlu, Shenran Wang, Eduard Tampu, Jackie Lin
in International Conference on AI and Musical Creativity, 2023
AI AND AUDIO RESEARCH EXPERIENCE
Mitsubishi Electric Research Laboratory (MERL)
Research Intern
Hosts: Dr. Yoshiki Masuyama, Dr. Gordon Wichern, Dr. Jonathan Le Roux
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Working on neural Spatial Audio processing and understanding systems.
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Developing generative AI audio systems.
2025 - Present
Cambridge, MA
Adobe Inc.
Research Intern
Hosts: Dr. Jiaqi Su, Dr. Zeyu Jin
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Developed a diffusion transformer-based blind RIR generation system.
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Investigated text-controllable RIR generation.
2025
San Francisco, CA
UIUC Audio Lab
Graduate Research Assistant
Supervisors: Prof. Paris Smaragdis, Prof. Minje Kim
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Working on Spatial Audio understanding and generation models.
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Worked on audio-visual scene understanding and analysis models.
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Worked on neural implicit representations for room impulse responses (RIR) and acoustic scenes.
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Worked on generative AI models for data augmentation to generate high-quality RIRs for downstream tasks.
Urbana, IL
2024 - Present
Aani Oy
Researcher
Supervisors: Dr. Raimundo Gonzalez Diaz, Prof. Archontis Politis
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​Worked on a deep learning-based blind reverberation estimation system.
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Developed a pytorch deep learning pipeline for designing new blind reverberation systems.
2024
Espoo, Finland
Aalto Acoustics Lab
Masters Thesis Researcher
Supervisors: Prof. Sebastian J. Schlecht, Prof. Vesa Välimäki, Georg Götz
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Developed an encoder-decoder deep neural network to predict room impulse responses from direct and early reflections. The goal is to reduce the RIR simulation time required for real-time applications.
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Achieved a more light-weight and better performing decoder for the RIR synthesis from a baseline decoder.
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Trained models on 50k+ RIRs using Aaltoʼs Triton computing cluster.
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Tested new model against unseen measured and simulated RIRs.
2023 - 2024
Espoo, Finland
Bose Corporation
Acoustic Test Engineering Intern
Supervisors: Eric Mitchell, Gerry Mariona
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Optimized MVDR beamforming parameters and acoustic test parameters for noise rejection.
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Developed an MVDR MATLAB library for denoising multichannel recordings from variable microphone arrays.
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​Designed a listening test for the HEAD Acoustics BHS II Headset to determine the recording and playback environments that best perceptually capture the desired signal.
Framingham, MA
2023
OTHER WORK & RESEARCH EXPERIENCE
Immersive Reality Pedagogy Researcher
MIT Department of Architecture and Department of Urban Studies and Planning
Cambridge, Massachusetts
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Assessed past pedagogical engagements with immersive reality technologies (virtual, augmented, and mixed realities) at MIT, and researched industry applications.
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Created a plan to incorporate immersive reality technologies in the COVID-19 virtual teaching context and beyond for the Department of Architecture and the Department of Urban Studies and Planning.
2020
Undergraduate Researcher
MIT Media Lab - City Science Group
Cambridge, Massachusetts
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Developed a dynamic visualization and app features using D3.js and Angular.js for CityScope real-time urban analytics tool for a land redevelopment competition in Hamburg, Germany.
2019
Undergraduate Researcher
MIT Digital Structures Lab
Cambridge, Massachusetts
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Parametrically modeled disaster relief housing design for the US and ran structural simulations on the design in Rhino, using Grasshopper and the Karamba3D plug-in.​
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Generated several optimal designs using K-means clustering in MATLAB, based on the intersection of wind, snow, and seismic US structural loading maps.​
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Created video and presentations for meetings with FEMA representatives and the International Association for Shell and Spatial Structures conference in July 2018.
2017 - 2018
PROFESSIONAL EXPERIENCE
Architectural Designer
Eigelberger Architecture & Design
Aspen, Colorado
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Designed and developed luxury residential homes in Aspen, Colorado.​
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Led coordination between architecture team and structural, civil, mechanical, electrical engineers, vendors, and general contractor.​
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Developed architectural drawings for a-z projects (Schematic Design, Design Development, Construction Documentation, and Construction Observation).
2021 - 2022
EDUCATION
University of Illinois at Urbana Champaign
Ph.D. in Computer Science
Urbana, Illinois
2024 - Present
Aalto University
Masters of Science in Acoustics and Audio Technology, with Honors
Minor in Machine Learning
Espoo, Finland
2022 - 2024
Massachusetts Institute of Technology
Bachelors of Science in Architecture and Urban Planning
Cambridge, Massachusetts
2016 - 2020
AWARDS & LEADERSHIP
Finland Scholarship
Awarded by Aalto University
Fully-funded MS tuition and award.
2022 - 2024
Aalto Effective Altruism
Board Member
2022 - 2024
MIT Class of 2020 Class Council
Publicity Chair
Publically elected member of the MIT 2020 class council.
2017 - 2020
SKILLS & EXPERTISE
Programming & Machine Learning
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Python
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Python ML libraries: pytorch, sci-kit
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SLURM
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Git
Acoustics and Audio Technology
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Matlab
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Audio digital signal processing
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Acoustical measurement
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Room measurement
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Loudspeaker measurement
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VR & AR
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Development for Oculus Quest
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Unity
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Unreal Engine
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Game Audio (Sound effects, Unity audio, Wwise)
Architecture
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Revit
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Twinmotion
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Rhino + Grasshopper
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AutoCAD
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3D fabrication
