CODE + DEVELOPMENT
MATLABC++PYTHONJAVASCRIPTGIT / GITHUB
AUDIO / DSP / SPATIAL
AUDIO ENGINEER · DSP DEVELOPER · SPATIAL AUDIO ARTIST
Intertwining sound, computation, machine learning, and immersive experience.
REAL-TIME DSP
SPATIAL AUDIO
MACHINE LEARNING
SOUND DESIGN
CREATIVE TECHNOLOGY
skills and tools
DSP + INTELLIGENT SYSTEMS
REAL-TIME DSPLTI SYSTEMSNONLINEAR PROCESSINGMACHINE LEARNING
AUDIO PRODUCTION
LOGIC PROPROTOOLSABLETONREAPERLIVE SOUND / RECORDINGSOUND DESIGN
SPATIAL + INTERACTIVE
MAX/MSPUNITYAMBISONICSPSYCHOACOUSTICS
I’m an audio engineer, DSP developer, and music engineering researcher interested in the intersection of audio signal processing, machine learning, and spatial audio. I’m currently pursuing a B.S./M.S. in Music Engineering Technology at the University of Miami, with a minor in Computer Engineering.
My work spans both technical and creative audio, from developing digital models of analog audio systems and psychoacoustic experiments to building audio machine-learning tools and immersive multichannel experiences. I’m especially interested in using engineering and computation to better understand how sound is produced, processed, perceived, and spatialized. Whether I’m building a DSP system, experimenting with auditory perception, or designing immersive audio, I enjoy working on problems where audio, software, and research intersect.
EDUCATIONUNIVERSITY OF MIAMI / FROST
M.S. / 2028MUSIC ENGINEERING TECHNOLOGY
B.S. / 2027MUSIC ENGINEERING TECHNOLOGY
MINORCOMPUTER ENGINEERING
GPA3.984 / 4.0
experience
ALIGNO
Co-Founder / Audio ML Engineer — Co-founded an AI-powered drum-editing startup; designed multitrack drum datasets and reference annotations for ML-based onset detection. Evaluated model outputs through listening tests and secured $10,000 in USTAAR Venture Catalyst funding.
FROST MUSEUM OF SCIENCE
Planetarium Sound Designer & Producer — Produced and spatialized immersive audio for planetarium productions using a 12.1-channel playback system. Developed multichannel routing, decoding, and delivery workflows for large-format immersive audio.
FROST SCHOOL OF MUSIC
Live Sound & Recording Engineer — Engineer live sound and multitrack recordings for clients including Emmet Cohen, the Latin Grammy Foundation, the Florida Panthers, and the U.S. Marine Band.
FILMGATE
Audio Head & Sound Instructor Intern — Led audio production and taught immersive audio, recording, foley, ADR, and sound design.
CHAI
Producer & Audio Programmer — Produced AI-integrated music and refined ML-generated audio through critical listening and iterative evaluation.
awards +
leadership
Audio Engineering Society — President2026–Present
Women in Audio Outreach2025–Present
USTAAR Venture Catalyst2025–26
International AI Song Competition — 3rd Place2025
MusicReach Engineering Mentor2025
SunFest Music Scholarship2023
HOVER TO REVEAL THE FIELDDRAG TO ROTATE · SELECT A POINT TO EXPLORE
Composing, producing, mixing, and designing sonic experiences for music, performance, film, and immersive environments.
Explore Aquatic Ensemble, How to Die in Space, FilmGate, and Production Credits and Collaborators.
An interactive underwater audiovisual experience.
April 2026
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AN ENSEMBLE OF UNDERWATER SOUNDS
Aquatic Ensemble turns real animal recordings into instruments for a multi-user electronic ensemble. Participants shape the music and underwater visuals together, exploring biological sounds and processes through an interactive installation.
GESTURE → SOUND + IMAGE
Makey-Makey controllers let participants change species and switch sounds on or off. x-IMU3 motion sensors map movement to pitch and reverb, while visual positions respond alongside the music.
Ableton Live and Max for Live handle the audio and control data, with TouchDesigner creating the visual environment.
Production credits and collaborators across live sound, recording, and mixing.
Frost Jazz Vocal I
Recording Services · Jazz Vocal Ensemble
- Live Sound Engineer
- Live Recording Engineer
Frost Jazz Vocal II
Recording Services · Jazz Vocal Ensemble
- Live Sound Engineer
- Live Recording Engineer
Frost Extensions
Recording Services · Jazz Vocal Ensemble
- Live Sound Engineer
- Live Recording Engineer
Frost Chamber Players
Recording Services · Chamber Ensembles
- Live Recording Engineer
- Live Sound Engineer
American Music Ensemble (AME)
Recording Services · Contemporary Ensemble
- Live Recording Engineer
- Live Sound Engineer
Gospel Ensemble
Recording Services · Small Jazz Ensemble
- Assistant
David Chiverton Ensemble
Recording Services · Small Jazz Ensemble
- Assistant
Frost Wind Ensemble (FWE)
Recording Services · Large Classical Ensemble
- Live Recording Engineer
Cameron Cullen
Recording Services · Flute Recital
- Live Recording Engineer
- Video Engineer
Chawin Temsittichok
Recording Services · Composition Showcase- Various
- Live Sound Engineer
Yuehan Chen
Recording Services · Classical Piano Recital
- Live Recording Engineer
- Video Engineer
Julia Carey
Recording Services · Flute Recital
- Live Recording Engineer
- Video Engineer
Zachary Kusztos
Recording Services · Percussion Recital
- Live Recording Engineer
- Video Engineer
Sophia Vidali
Recording Services · Classical Voice Recital
- Live Recording Engineer
- Video Engineer
Shuguang Gong
Recording Services · Classical Piano Recital
- Live Recording Engineer
- Video Engineer
BisCaydence
Recording Services · Music Video Shoot
- Live Sound Engineer
Frost Jazz Orchestra (FJO)
Recording Services · Large Jazz Ensemble
- Live Recording Engineer
- Live Sound Engineer
Sean Jones
Recording Services · Jazz trumpet with Frost Jazz Orchestra
- Live Sound Engineer
Studio Jazz Band (SJB)
Recording Services · Large Jazz Ensemble
- Live Recording Engineer
- Live Sound Engineer
Eunmi Ko
Recording Services · Classical Piano
- Live Sound Engineer
Dylan Neff
Recording Services · Bassoon Recital
- Live Recording Engineer
- Video Engineer
Frost Opera Theater
Recording Services · Classical Vocal Ensemble
- Live Sound Engineer
Frost Symphonic Choir
Recording Services · Classical Vocal Ensemble
- Live Sound Engineer
Frost Bella Voce
Recording Services · Classical Vocal Ensemble
- Live Sound Engineer
Phoenix Acapella
Recording Services · Contemporary Vocal Ensemble
- Live Sound Engineer
Tufaan
Recording Services · Contemporary Vocal Ensemble
- Live Sound Engineer
BisCaydence
Recording Services · Contemporary Vocal Ensemble
- Live Sound Engineer
Greater Miami Symphonic Band
Recording Services · Large Classical Ensemble
- Live Recording Engineer
Jazz Guitar Ensemble I
Recording Services · Small Jazz Ensemble
- Live Sound Engineer
Jazz Guitar Ensemble II
Recording Services · Small Jazz Ensemble
- Live Recording Engineer
- Live Sound Engineer
R&B Ensemble
Recording Services · Small Jazz Ensemble
- Live Sound Engineer
Bass Desires
Recording Services · Small Jazz Ensemble
- Live Recording Engineer
- Live Sound Engineer
Association of Independent Music Publishers (AIMP)
Recording Services · Panelling Summit
- Live Recording Engineer
- Video Engineer
Frost Symphony Orchestra (FSO)
Recording Services · Large Classical Ensemble
- Live Recording Engineer
Frost Music Theater Ensemble
Recording Services · Musical Theater Production
- Live Recording Engineer
- Live Sound Engineer
Taibai Mou
Recording Services · Jazz Piano with Small Jazz Ensemble
- Live Recording Engineer
- Video Engineer
Junhao Li
Recording Services · Viola Recital
- Live Recording Engineer
- Video Engineer
Society of Composers Inc. (SCI)
Recording Services · Composition Showcase- Various
- Live Sound Engineer
Frost Honor Band (FHB)
Recording Services · Large Classical Ensemble
- Live Recording Engineer
Frost Symphonic Winds (FSW)
Recording Services · Large Classical Ensemble
- Live Sound Engineer
Henry Mancini Institute (HMI) Orchestra
Recording Services · Large Multi-Genre Ensemble
- Live Sound Engineer
- Live Recording Engineer
Scott Robinson
Recording Services · Jazz Saxophone with HMI Orchestra
- Live Sound Engineer
Shelly Berg
Recording Services · Jazz Piano with HMI Orchestra
- Live Recording Engineer
Amilyah Robinson
Recording Services · Percussion Recital
- Live Sound Engineer
Lydia Chen
Recording Services · Contemporary Voice with Contemporary Band
- Live Recording Engineer
- Video Engineer
Aric MacDavid
Recording Services · Bassoon Recital
- Live Recording Engineer
- Video Engineer
Xu Feng
Recording Services · Jazz Piano with Small Jazz Ensemble
- Live Recording Engineer
- Video Engineer
Derek Janoff
Recording Services · Jazz Saxophone with Small Jazz Ensemble
- Live Recording Engineer
- Video Engineer
Joseph Palmer
Recording Services · Jazz Trumpet with Small Jazz Ensemble
- Live Sound Engineer
Stamps Jazz Quintet
Recording Services · Small Jazz Ensemble
- Live Sound Engineer
Frost Jazz Septet
Recording Services · Small Jazz Ensemble
- Live Sound Engineer
Ensemble Ibis
Recording Services · Large Classical Ensemble
- Live Recording Engineer
Jacob Mason
Recording Services · Classical Piano
- Live Sound Engineer
Frost Faculty
Recording Services · Composition Showcase- Various
- Live Sound Engineer
Latin Jazz Orchestra (LJO)
Recording Services · Large Jazz Ensemble
- Live Recording Engineer
Dafnis Prieto
Recording Services · Percussion with Latin Jazz Orchestra
- Live Recording Engineer
RUCK Ensemble
Recording Services · Contemporary Ensemble
- Live Recording Engineer
LandFall
Recording Services · Contemporary Ensemble
- Live Recording Engineer
Gulliver Prep Middle School Jazz Band
Recording Services · Large Jazz Ensemble
- Live Sound Engineer
Gulliver Prep Middle School Beginning Band
Recording Services · Large Classical Ensemble
- Live Sound Engineer
Gulliver Prep Middle School Symphonic Band
Recording Services · Large Classical Ensemble
- Live Sound Engineer
Piano Allegro Academy
Recording Services · Performance Showcase- Various
- Live Sound Engineer
Somerset Academy
Recording Services · Graduation
- Live Sound Engineer
Frost Summer Experience
Recording Services · Performance Showcase- Various
- Live Recording Engineer
Latin Grammy Foundation
Recording Services · Gala
- Live Recording Engineer
Seek the Source
Recording Services · Small Jazz Ensemble
- Live Sound Engineer
Berg Music Studio
Recording Services · Performance Showcase- Various
- Live Sound Engineer
Emmet Cohen: Live From Emmet’s Place
Recording Services · Large Jazz Ensemble
- Live Recording Engineer
IlluminArts
Recording Services · Performance Showcase- Various
- Live Recording Engineer
Rock Symphonic
Recording Services · Large Classical Ensemble
- Live Sound Engineer
Harrison Gesser
Recording Services · Jazz Drum Set with Small Jazz Ensemble
- Live Recording Engineer
Encore Academy
Recording Services · Performance Showcase- Various
- Live Sound Engineer
Ted Rosenthal Trio
Recording Services · Small Jazz Ensemble
- Live Sound Engineer
MusicReach
Recording Services · Performance Showcase- Various
- Live Sound Engineer
Jupiter Medical
Aesir Sound · Gala
- Assistant
Melton Mustafa Jazz Festival
Aesir Sound · Performance Showcase- Various
- Assistant
Yi-Mei Ciou
Freelance/External · Percussion
- Studio Recording Engineer
- Mixing Engineer
Florida Panthers: Palm Beach Symphony
Freelance/External · Large Classical Ensemble
- Assistant
Jasmine Ortiz
Freelance/External · Contemporary Vocal
- Studio Recording Engineer
- Mixing Engineer
Auditory Nerve
Freelance/External · Contemporary Ensemble
- Studio Recording Engineer
- Mixing Engineer
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Commercial audio production and sound instruction for a FilmGate student bootcamp film.
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SOUND FOR THE SCREEN
I produced the audio for a FilmGate commercial, including sound design, foley, and ADR.
RECORDING + PRODUCTION
Working in Logic Pro, I combined sounds I recorded myself with synthesized sounds to build the commercial’s audio. The gallery pairs frames from the finished film with screenshots of the production sessions.
STUDENT BOOTCAMP FILM
I served as the lead sound instructor and engineer for a FilmGate student bootcamp film. Watch the finished film below.
Original score and spatial sound design for an interactive planetarium adventure.
Frost Planetarium · May 2026
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SCORING A COSMIC ADVENTURE
How to Die in Space is a live, audience-driven adventure through cosmic hazards at the Phillip and Patricia Frost Museum of Science. Developed by Frost Science Studios and inspired by Dr. Paul M. Sutter’s book, the production combines science, humor, and choices that shape the mission’s fate.
I created the original score and spatial sound design through a collaboration with the University of Miami’s Frost School of Music, with musical guidance from Susan Green and Tom Collins.
SOUND THROUGHOUT THE DOME
The planetarium’s 12 dome speakers and four subwoofers create an immersive listening environment. My REAPER workflow uses ambisonic encoding and automated source positions to shape movement around the audience. The process screenshots show azimuth and elevation automation alongside IEM tools for encoding and visualizing the sound field.
LISTEN / SOUND-EFFECT EXAMPLE
A 15-second stereo sound-effect example from the project. This excerpt presents the sound design; it does not reproduce the full dome playback experience.
Loading audio…
Frost Science currently lists the production as How to Survive in Space.
Real-time DSP, machine learning, audio software, feature extraction, and experimental systems for turning sound into data and data back into sound.
Select a project to explore · Scroll horizontally through the arrangement
01
Plugins
02
Machine Learning
03
Software
04
Research and Reports
VR / MIDI / SINGLE-USER PROTOTYPE
BandSimLIVE
A virtual drum kit that turns controller movement into musical performance.
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I developed a controller-based VR drumming prototype that connects Meta Quest 3 interactions to Ableton Live. C# scripts use DryWetMIDI to map drum collisions and strike velocities to MIDI notes and dynamics, with Ableton providing the drum sounds.
- Quest controllers
- Unity + C#
- Virtual MIDI port
- Ableton Live
Interaction & sound
I built the virtual kit from Unity primitives and used the Corvaire Kit instrument in Ableton. Drum panning follows the player’s seated perspective.
Prototype scope
The current experience supports a single player using controllers. Multiplayer, controller-free hand tracking, and haptic interaction are future development goals.
BandSimLIVE: Design and Implementation of a VR-to-MIDI Drumming Interface
From controller tracking to drum playback: the system architecture, MIDI routing, implementation, and development challenges behind a single-user VR drumming prototype.
AI SONG CONTEST 2025 / MODEL TRAINING & INFERENCE / VARGEN
Applying generative machine learning to musical variation through model training, inference, and output review.
The project
Our team used VarGen, an existing theme-and-variation generator, to explore a progressive metal interpretation of “Silent Night.” After training the model on 185 metal guitar parts, the team generated 20 variations that informed the song’s melodic and rhythmic material.
- Metal guitar training material
- VarGen variations
- MIDI review & arrangement
- Live recording
- Final production
My contribution
I worked extensively on training the VarGen model and running inference, collaborating with Mike and Tom to generate variations from the “Silent Night” theme. I also contributed to production, connecting the model’s MIDI outputs with arrangement decisions and live recording.
Model training
I contributed to training VarGen on a collection of 185 metal guitar parts, applying an existing generative model to the musical vocabulary of progressive metal.
Inference & generated outputs
I worked with the team to run inference using “Silent Night” as the input theme, generating 20 variations that supplied melodic and rhythmic material for the project.
Output review & evaluation
The team reviewed generated MIDI for musical usefulness and playability. The process document also describes an originality-checking method comparing generated variations with the training collection.
Application in production
Selected model outputs became the foundation for a through-composed recording. I contributed to guitar and bass recording sessions and collaborative lyric writing as the generated material was adapted into the final song.
Process & model reference
The process document records our creative workflow and collaboration. The accompanying research paper is a reference for the existing VarGen model used in the project.
AMBISONICS / AUDIO OBJECTS / IN DEVELOPMENT
From a spatial sound scene to individual audio objects and their spatial metadata.
What I’m working on
I’m currently working on extracting individual audio objects from ambisonic sound scenes, along with audio and spatial metadata. The goal is to connect the extracted sounds with information about their position within the scene.
Ambisonic
sound scene→Audio object
extraction→Audio objects +
spatial metadata
sound scene→Audio object
extraction→Audio objects +
spatial metadata
Current focus
Audio object extraction and the relationship between the extracted audio and its spatial information. The implementation approach is still in development.
Next steps
The next stage is to develop and evaluate the extraction workflow, then document results with example scenes and visualizations of the spatial metadata.
IN DEVELOPMENT / MACHINE LEARNING / AUDIO
Reimagining drum editing through machine learning for transient detection.
The concept
Manual drum editing involves locating transients, slicing clips, and aligning performances across multiple tracks. Aligno is being developed to detect drum onsets with convolutional neural networks and support a simpler multitrack editing workflow for recording engineers and producers.
Funding & recognition
Aligno received a $10,000 Venture Catalyst Award through the University of Miami’s USTAAR program to support model training and continued development.
My role
Co-founder & Data and Tools Engineer, contributing to training data, model development, and evaluation.
Multitrack drum datasets
I built multitrack drum datasets to improve onset detection with convolutional neural networks and curated training data for ML audio development.
CNN development in PyTorch
I contributed to convolutional neural network model development using PyTorch, connecting audio datasets with the onset-detection training workflow.
Output evaluation
I evaluated model outputs to guide improvements to the training data and optimize ML audio performance.
Current progress
The project is in active development. Current work focuses on datasets, CNN development, and output evaluation; the pitch outlines the broader vision for automated drum editing.
Project direction
The planned workflow moves from importing multitrack drums to detecting transients, supporting slicing and alignment, and exporting edited audio. Further model evaluation and editing-workflow integration remain development goals.
AUDIO PLUGIN / MATLAB AUDIO TOOLBOX / VST3 & AU
TS-style overdrive in your DAW, developed from the TubeScreamer Digital Model.
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Overdrive & tone shaping
Developed with MATLAB Audio Toolbox, ScreamerTube combines digital filtering and soft clipping with Drive, Tone, and Level controls. The plugin supports mono and stereo processing.
Switchable anti-aliasing
An antiderivative anti-aliasing (ADAA) option is designed to reduce aliasing from the nonlinear clipping stage. Toggle it directly from the plugin interface.
Technical foundation
The accompanying TS808 technical report documents the original MATLAB model, including circuit decomposition, digital filter derivation, soft clipping, and response analysis. ScreamerTube extends that work into an audio plugin with switchable ADAA.
macOS downloads
Install the VST3 in ~/Library/Audio/Plug-Ins/VST3/. For Audio Units, extract the ZIP and place the component in ~/Library/Audio/Plug-Ins/Components/. Restart your DAW and rescan plugins.
AUDIO PLUGIN / MATLAB / DEEP LEARNING
Neural speech denoising with hands-on control over noise reduction and gate timing.
I trained the bundled denoising weights using MathWorks' example-based workflow and developed a MATLAB audio plugin around the models. SpeechDenoiser combines selectable fully connected (FF) and convolutional (CNN) networks with a voice-activity-driven noise gate, dry/wet blending, and bypass.
Model & denoise controls
Switch between FF and CNN models and adjust denoise strength to blend the denoised signal with the gated audio. Bypass returns the original audio with the same processing delay.
Gate timing
Attack, Hold, and Release controls shape the voice-activity-driven gate, balancing noise suppression with the continuity of speech.
Development scope
The project adapts MathWorks' deep-learning speech-denoising example into a continuous mono audio-processing interface. The current implementation uses an 80 ms fixed processing latency and 8 kHz model inference, with approximately 4 kHz denoised output bandwidth. Native plugin export and microphone operation remain unverified.
MATLAB / DSP / VIRTUAL ANALOG MODELING
A digital interpretation of the TS808's filtering and soft-clipping signal path.
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- Input buffer
- High-pass + soft clipping
- Low-pass filtering
- Tone + volume
- Output buffer
Filters & nonlinear processing
The MATLAB model converts continuous-time subsystem transfer functions into digital filters using the bilinear transform at 48 kHz. A drive-dependent hyperbolic tangent function approximates soft clipping between the linear filtering stages.
Response analysis
Frequency responses, impulse responses, and pole-zero plots characterize the linear cascade across control settings. The technical report documents the circuit decomposition, implementation, and model limitations.
Audio examples
Listen to the rendered guitar examples with different drive, tone, and volume settings.
Drive 0 / Tone 0 / Volume 100
Drive 0 / Tone 100 / Volume 100
Drive 40 / Tone 80 / Volume 40
Drive 80 / Tone 60 / Volume 70
Drive 100 / Tone 0 / Volume 80
Drive 100 / Tone 100 / Volume 100
The TubeScreamer TS808: A Digital Model
A subsystem-based digital model of the TS808 overdrive pedal, covering analog transfer functions, bilinear-transform conversion, drive-dependent soft clipping, and linear response analysis under multiple control configurations.
Perception-Based Analysis of Spatial Semantic Separation of Sound Scenes (S5)
I’m working on a research paper studying perception-based analysis of spatial semantic separation of sound scenes (S5). The research uses a MUSHRA listener study to evaluate the separated sound scenes through listener judgments.
Research focus
Understanding how listeners perceive the results of spatial semantic separation of sound scenes.
Listener study
A MUSHRA listening study forms the perceptual evaluation component of this research. The paper is currently in progress.
JSmasklab: An Interactive Experiment for Measuring Auditory Frequency Masking
Design and implementation of a browser-based auditory masking experiment, with two-interval forced-choice adaptive trials, baseline and masked thresholds, and frequency masking curves.
INTERACTIVE SOFTWARE / PSYCHOACOUSTICS
A browser-based listening experiment exploring how one sound changes your ability to hear another.
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I developed JSmasklab to explore frequency masking through an interactive listening experiment. Listeners compare two sound intervals and identify the one containing a pure-tone probe. Their responses adjust the probe level to estimate detection thresholds across frequencies, connecting personal listening results to masking curves and auditory frequency selectivity.
Adaptive listening trials
A narrow-band noise masker accompanies the probe in a two-interval task. Two correct responses lower the probe level; one incorrect response raises it. The test ends after eight reversals and estimates the threshold from the final six.
Results & session data
Baseline measurements provide a comparison for masked thresholds at the same frequencies. Results display thresholds and masking amount, with sessions saved in the browser and CSV summaries or full JSON data available for export.
Experiment scope
The app explores masking, critical bands, and asymmetry of masking using synthesized audio. Levels are digital dBFS RMS, without calibration to dB SPL or clinical hearing thresholds. Use headphones in a quiet room and keep a low, comfortable device volume unchanged throughout a session.
INTERACTIVE SOFTWARE / AUDITORY MODELING
A browser-based exploration of ear transmission and the cues behind binaural hearing.
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I developed an interactive web-based auditory model to explore outer-ear response, middle-ear transmission, and synthetic binaural rendering. Adjustable anatomy and circuit parameters connect the underlying models to response plots and audio playback.
Ear transmission
The middle-ear model uses an equivalent circuit to calculate input impedance and transmission magnitude and phase. The Combined view cascades the outer- and middle-ear frequency responses, with experiments exploring inertance, compliance, and loss.
Synthetic binaural audio
Source azimuth and elevation shape left and right HRTFs. The model derives HRIRs for binaural convolution, displaying interaural time and level differences alongside the response plots.
Listen / binaural example
A six-second stereo render using a source azimuth of −75° and elevation of 46°. Listen with headphones to hear the left/right spatial cues.
Loading audio…
View Example Rendered ParametersModel scope
The binaural responses are synthetic, not measured or personalized HRTFs. The outer-to-middle-ear connection is a unilateral LTI cascade without loading feedback. These simplified models support exploration rather than individualized anatomical prediction.
An Interactive Web-Based Auditory Model: Middle-Ear Transmission and Synthetic Binaural Responses
Equivalent-circuit modeling, outer-to-middle-ear transmission, parameter experiments, and synthetic binaural responses. The report documents the implementation, results, and simplifying assumptions behind the interactive model.
For collaborations, audio engineering, creative technology, or research purposes.