Ai Music Technologist
Current
Sep 2024 - Present
AeroLeads people directory · profile
Sara Adkins Email & Phone Number
Music Technology | Machine Learning | US-UK Fulbright Scholar
at
Suno
1 work email found
@neuralmagic.com
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Current company
Role
Music Technology | Machine Learning | US-UK Fulbright Scholar
Location
Greater Boston, United States
Who is Sara Adkins? Overview
A concise factual answer block for searchers comparing this professional profile.
Quick answer
Sara Adkins is listed as Music Technology | Machine Learning | US-UK Fulbright Scholar at Suno, based in Greater Boston, United States. AeroLeads shows a work email signal at neuralmagic.com and a matched LinkedIn profile for Sara Adkins.
Sara Adkins previously worked as AI Music Technologist at Suno and Senior Machine Learning Engineer at Neural Magic. Sara Adkins holds Bachelor Of Computer Science And Arts, Computer Science And Music Technology from Carnegie Mellon University.
Company email context
Email format at Suno
This section adds company-level context without repeating Sara Adkins's masked contact details.
{first}@neuralmagic.com
86% confidence
AeroLeads found 1 current-domain work email signal for Sara Adkins. Compare company email patterns before reaching out.
Profile bio
About Sara Adkins
I am a music technologist, machine learning engineer and musician working to pioneer new ways of creating and performing music with AI. I currently work as a Senior Machine Learning Engineer at Neural Magic by day, developing open source software for high-performance LLM inference. By night I make electronic music with my guitar and laptop, using a combination of Tidal Cycles live coding and electric guitar looping. I received my Masters of Science in Sound and Music Computing at Queen Mary University of London, where I was funded through a US-UK Fulbright grant to pursue music AI research in the UK. My master's thesis focused on developing a steerable Transformer-XL model capable of generating loopable musical phrases for use in performances. It was published at EvoMUSART 2023 where it received the Outstanding Student Award. I continue to incorporate generative AI into my performance practice, focusing on human-AI improvisation and timbre synthesis. I have given talks on music AI to audiences of both musicians and researchers at venues such as Music Hackspace, ISMIR, Hackaday Superconference and XFest.Prior to my time in London, I spent three years in Boston working as a machine learning engineer at Bose and performing as a freelance classical guitarist for weddings and other events. While at Bose, I worked in the applied research group in the Health division, developing prototypes that resulted in two published patents and two pending. I worked on deep learning models for speech enhancement, writing custom kernels to optimize quantized models to run live on a hearing aid micro-controller. I also led a research project developing generative audio algorithms that adapt to biofeedback signals to induce sleep using soothing music.
Listed skills include C, Machine Learning, Python, Sound Design, and 13 others.
Current workplace
Sara Adkins's current company
Company context helps verify the profile and gives searchers a useful next step.
10 roles
Sara Adkins work experience
A career timeline built from the work history available for this profile.
Senior Machine Learning Engineer
Developing open source software for high-performance LLM inference, focused on productionizing SOTA research in sparsification and quantization for deployment in vLLM
Jul 2023 - Sep 2024
Generative Music And Audio Developer
Built a real-time generative music engine with adaptive emotion, in beta use by over 600Twitch streamers. Worked with artists and sound designers to create interactive, infiniteversions of their songs using classical and deep machine learning methods.
Oct 2022 - Jul 2023
Research Assistant
Developed a novel timbre transfer model for an electric violin pickup. Combined a regressed segmentation algorithm with a DDSP autoencoder to synthesize transients withimproved reconstruction quality and latency compared to the DDSP baseline.
Mar 2022 - Aug 2022
Machine Learning Engineer
* Worked with research and production teams to integrate machine learning algorithms into prototypes and optimize them for production applications.* Optimized a recurrent deep learning model for speech enhancement to run in real time on an embedded device and implemented inference in C using a neural accelerator chip. * Technical lead for a research project developing generative and adaptive audio algorithms. Developed prototypes experiences for user testing and presented recommended production requirements to stakeholders, resulting in the project’s smooth transition from research to production
Sep 2019 - Aug 2021
Software & Dsp Engineer
As part of Bose's rotational program for new college graduates, I worked as a software engineer on the Health Data Science team and a DSP engineer on the Headphones Product Development team• Designed signal chain for an adjustable EQ feature released on the NC700 headphones• Developed an in-ear detection algorithm using a fusion of sensors that achieved over 97% accuracy in user research studies. Implemented the algorithm in firmware
Aug 2018 - Sep 2019
Software Engineering Intern
Developed low latency Windows audio I/O and control drivers used to interface withDSP Simulink models and simulate multi-channel automotive amplifier products.
May 2017 - Aug 2017
Media Systems Engineering Intern
Developed a PowerShell script to automate and schedule software installs across the 80 video edit suites in the building. Designed and executed renovations in UHD editing suites to incorporate 4K HDR editing and waveform monitors into existing workflows.Updated technical drawing sets in AutoCAD for various Media Engineering ProjectsDeveloped a bash script to automate the scan and robust copy process for LTO tapes received from vendors.
Jun 2016 - Aug 2016
Research Assistant
Developed android applications that were used to investigate human response to a variety of virtual texture environments. Maintained MySQL database for trial data, and performed data analysis in MatLab. Designed a touchscreen keyboard application that utilizes haptic feedback to make swipe typing on Android devices more accessible to visually impaired users. Presented research at the Meeting of the Minds research symposium in May 2016.
Sep 2015 - May 2016
Music Technology Cluster Assistant
Assisted students in the Intro to Music Technology course in using music editing software such as Reason, Logic, Pro Tools and Max MSP to complete their class projects. Managed cluster 5 hours a week.
Jan 2015 - Jan 2016
2 education records
Sara Adkins education
Bachelor Of Computer Science And Arts, Computer Science And Music Technology
Carnegie Mellon University
Master Of Science - Ms, Sound And Music Computing
Queen Mary University Of London
FAQ
Frequently asked questions about Sara Adkins
Quick answers generated from the profile data available on this page.
What company does Sara Adkins work for?
Sara Adkins works for Suno.
What is Sara Adkins's role at Suno?
Sara Adkins is listed as Music Technology | Machine Learning | US-UK Fulbright Scholar at Suno.
What is Sara Adkins's email address?
AeroLeads has found 1 work email signal at @neuralmagic.com for Sara Adkins at Suno.
Where is Sara Adkins based?
Sara Adkins is based in Greater Boston, United States while working with Suno.
What companies has Sara Adkins worked for?
Sara Adkins has worked for Suno, Neural Magic, Infinite Album, Queen Mary University Of London, and Bose Corporation.
How can I contact Sara Adkins?
You can use AeroLeads to view verified contact signals for Sara Adkins at Suno, including work email, phone, and LinkedIn data when available.
What schools did Sara Adkins attend?
Sara Adkins holds Bachelor Of Computer Science And Arts, Computer Science And Music Technology from Carnegie Mellon University.
What skills is Sara Adkins known for?
Sara Adkins is listed with skills including C, Machine Learning, Python, Sound Design, C++, C#, Java, and Max.
Find 750M verified contacts
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial