(About Us)
(About Us)
(About Us)
(About Us)
Neural Fingerprinting is a significant advancement beyond traditional audio fingerprinting techniques, which primarily rely on matching exact audio snippets. Neural embeddings capture semantic relationships to identify covers, remixes and generative-AI derivatives.
SoundPatrol will also develop powerful tools and models designed to proactively help third-party platforms and research labs prevent copyright violations, ensuring a creatively vibrant digital music ecosystem that fairly compensates artists for their original works.
The lab originated at Stanford University with a constellation of leading AI, machine learning and cybersecurity academics, including Walter De Brouwer Ph. D., SoundPatrol’s co-founder and CEO, and colleagues Percy Liang Ph. D. (director of the Center for Foundation Models), Chris Re, Ph. D. (Stanford AI Lab, Director of FactoryHQ) and Dan Boneh, Ph. D. (Director of the Applied Cryptography Lab and Co-Director of the Cybersecurity Lab).
Neural Fingerprinting is a significant advancement beyond traditional audio fingerprinting techniques, which primarily rely on matching exact audio snippets. Neural embeddings capture semantic relationships to identify covers, remixes and generative-AI derivatives.
SoundPatrol will also develop powerful tools and models designed to proactively help third-party platforms and research labs prevent copyright violations, ensuring a creatively vibrant digital music ecosystem that fairly compensates artists for their original works.
The lab originated at Stanford University with a constellation of leading AI, machine learning and cybersecurity academics, including Walter De Brouwer Ph. D., SoundPatrol’s co-founder and CEO, and colleagues Percy Liang Ph. D. (director of the Center for Foundation Models), Chris Re, Ph. D. (Stanford AI Lab, Director of FactoryHQ) and Dan Boneh, Ph. D. (Director of the Applied Cryptography Lab and Co-Director of the Cybersecurity Lab).
Neural Fingerprinting is a significant advancement beyond traditional audio fingerprinting techniques, which primarily rely on matching exact audio snippets. Neural embeddings capture semantic relationships to identify covers, remixes and generative-AI derivatives.
SoundPatrol will also develop powerful tools and models designed to proactively help third-party platforms and research labs prevent copyright violations, ensuring a creatively vibrant digital music ecosystem that fairly compensates artists for their original works.
The lab originated at Stanford University with a constellation of leading AI, machine learning and cybersecurity academics, including Walter De Brouwer Ph. D., SoundPatrol’s co-founder and CEO, and colleagues Percy Liang Ph. D. (director of the Center for Foundation Models), Chris Re, Ph. D. (Stanford AI Lab, Director of FactoryHQ) and Dan Boneh, Ph. D. (Director of the Applied Cryptography Lab and Co-Director of the Cybersecurity Lab).
Neural Fingerprinting is a significant advancement beyond traditional audio fingerprinting techniques, which primarily rely on matching exact audio snippets. Neural embeddings capture semantic relationships to identify covers, remixes and generative-AI derivatives.
SoundPatrol will also develop powerful tools and models designed to proactively help third-party platforms and research labs prevent copyright violations, ensuring a creatively vibrant digital music ecosystem that fairly compensates artists for their original works.
The lab originated at Stanford University with a constellation of leading AI, machine learning and cybersecurity academics, including Walter De Brouwer Ph. D., SoundPatrol’s co-founder and CEO, and colleagues Percy Liang Ph. D. (director of the Center for Foundation Models), Chris Re, Ph. D. (Stanford AI Lab, Director of FactoryHQ) and Dan Boneh, Ph. D. (Director of the Applied Cryptography Lab and Co-Director of the Cybersecurity Lab).
Neural Fingerprinting is a significant advancement beyond traditional audio fingerprinting techniques, which primarily rely on matching exact audio snippets. Neural embeddings capture semantic relationships to identify covers, remixes and generative-AI derivatives.
SoundPatrol will also develop powerful tools and models designed to proactively help third-party platforms and research labs prevent copyright violations, ensuring a creatively vibrant digital music ecosystem that fairly compensates artists for their original works.
The lab originated at Stanford University with a constellation of leading AI, machine learning and cybersecurity academics, including Walter De Brouwer Ph. D., SoundPatrol’s Co-Founder and CEO, and colleagues Percy Liang Ph. D. (director of the Center for Foundation Models), Chris Re, Ph. D. (Stanford AI Lab, Director of FactoryHQ) and Dan Boneh, Ph. D. (Director of the Applied Cryptography Lab and Co-Director of the Cybersecurity Lab).
(Our Founders)
(Our Founders)
(Our Founders)
Michael Ovitz
Co-Founder & Chairman
Wikipedia
Michael Ovitz
Co-Founder & Chairman
Wikipedia
Michael Ovitz
Co-Founder & Chairman
Wikipedia
Michael Ovitz
Co-Founder & Chairman
Wikipedia
Michael Ovitz
Co-Founder & Chairman
Wikipedia
Michael Ovitz
Co-Founder & Chairman
Wikipedia
Michael Ovitz, SoundPatrol Co-Founder and Chairman of the Board, said: “This is a huge victory for all artists in the creative universe.” He continued: “One of the premier issues affecting artists has always been the protection of their intellectual property rights. SoundPatrol has answered the long-standing problem of IP theft by creating a frontier lab with neural fingerprinting capabilities that can identify all pipelines of directly transmitted content, whether on its own or intermixed, in real time. This is the first-of-its-kind technology implemented to protect all copyright holders and creators of any type of intellectual property.”
Michael Ovitz, SoundPatrol Co-Founder and Chairman of the Board, said: “This is a huge victory for all artists in the creative universe.” He continued: “One of the premier issues affecting artists has always been the protection of their intellectual property rights. SoundPatrol has answered the long-standing problem of IP theft by creating a frontier lab with neural fingerprinting capabilities that can identify all pipelines of directly transmitted content, whether on its own or intermixed, in real time. This is the first-of-its-kind technology implemented to protect all copyright holders and creators of any type of intellectual property.”
Michael Ovitz, SoundPatrol Co-Founder and Chairman of the Board, said: “This is a huge victory for all artists in the creative universe.” He continued: “One of the premier issues affecting artists has always been the protection of their intellectual property rights. SoundPatrol has answered the long-standing problem of IP theft by creating a frontier lab with neural fingerprinting capabilities that can identify all pipelines of directly transmitted content, whether on its own or intermixed, in real time. This is the first-of-its-kind technology implemented to protect all copyright holders and creators of any type of intellectual property.”
Michael Ovitz, SoundPatrol Co-Founder and Chairman of the Board, said: “This is a huge victory for all artists in the creative universe.” He continued: “One of the premier issues affecting artists has always been the protection of their intellectual property rights. SoundPatrol has answered the long-standing problem of IP theft by creating a frontier lab with neural fingerprinting capabilities that can identify all pipelines of directly transmitted content, whether on its own or intermixed, in real time. This is the first-of-its-kind technology implemented to protect all copyright holders and creators of any type of intellectual property.”
Michael Ovitz, SoundPatrol Co-Founder and Chairman of the Board, said: “This is a huge victory for all artists in the creative universe.” He continued: “One of the premier issues affecting artists has always been the protection of their intellectual property rights. SoundPatrol has answered the long-standing problem of IP theft by creating a frontier lab with neural fingerprinting capabilities that can identify all pipelines of directly transmitted content, whether on its own or intermixed, in real time. This is the first-of-its-kind technology implemented to protect all copyright holders and creators of any type of intellectual property.”
Michael Ovitz, SoundPatrol Co-Founder and Chairman of the Board, said: “This is a huge victory for all artists in the creative universe.” He continued: “One of the premier issues affecting artists has always been the protection of their intellectual property rights. SoundPatrol has answered the long-standing problem of IP theft by creating a frontier lab with neural fingerprinting capabilities that can identify all pipelines of directly transmitted content, whether on its own or intermixed, in real time. This is the first-of-its-kind technology implemented to protect all copyright holders and creators of any type of intellectual property.”
Walter De Brouwer
CEO & Co-Founder
Wikipedia
Walter De Brouwer
CEO & Co-Founder
Wikipedia
Walter De Brouwer
CEO & Co-Founder
Wikipedia
Walter De Brouwer
CEO & Co-Founder
Wikipedia
Walter De Brouwer
CEO & Co-Founder
Wikipedia
Walter De Brouwer
CEO & Co-Founder
Wikipedia
Walter De Brouwer, SoundPatrol Co-Founder and CEO, said: “Generative AI is transforming music in extraordinary ways, but if we abandon copyright, we risk severing artists from ownership of their own work. It is compulsory to proactively feed deep embeddings of these neural signatures into streaming infrastructures so that owners can maintain control, authenticity, and monetization of their intellectual property in the generative AI era. Eliminating copyright to accelerate AI is like changing the speed of light to advance physics—it misunderstands the fundamental laws that sustain creativity.”
Walter De Brouwer, SoundPatrol Co-Founder and CEO, said: “Generative AI is transforming music in extraordinary ways, but if we abandon copyright, we risk severing artists from ownership of their own work. It is compulsory to proactively feed deep embeddings of these neural signatures into streaming infrastructures so that owners can maintain control, authenticity, and monetization of their intellectual property in the generative AI era. Eliminating copyright to accelerate AI is like changing the speed of light to advance physics—it misunderstands the fundamental laws that sustain creativity.”
Walter De Brouwer, SoundPatrol Co-Founder and CEO, said: “Generative AI is transforming music in extraordinary ways, but if we abandon copyright, we risk severing artists from ownership of their own work. It is compulsory to proactively feed deep embeddings of these neural signatures into streaming infrastructures so that owners can maintain control, authenticity, and monetization of their intellectual property in the generative AI era. Eliminating copyright to accelerate AI is like changing the speed of light to advance physics—it misunderstands the fundamental laws that sustain creativity.”
Walter De Brouwer, SoundPatrol Co-Founder and CEO, said: “Generative AI is transforming music in extraordinary ways, but if we abandon copyright, we risk severing artists from ownership of their own work. It is compulsory to proactively feed deep embeddings of these neural signatures into streaming infrastructures so that owners can maintain control, authenticity, and monetization of their intellectual property in the generative AI era. Eliminating copyright to accelerate AI is like changing the speed of light to advance physics—it misunderstands the fundamental laws that sustain creativity.”
Walter De Brouwer, SoundPatrol Co-Founder and CEO, said: “Generative AI is transforming music in extraordinary ways, but if we abandon copyright, we risk severing artists from ownership of their own work. It is compulsory to proactively feed deep embeddings of these neural signatures into streaming infrastructures so that owners can maintain control, authenticity, and monetization of their intellectual property in the generative AI era. Eliminating copyright to accelerate AI is like changing the speed of light to advance physics—it misunderstands the fundamental laws that sustain creativity.”
Walter De Brouwer, SoundPatrol Co-Founder and CEO, said: “Generative AI is transforming music in extraordinary ways, but if we abandon copyright, we risk severing artists from ownership of their own work. It is compulsory to proactively feed deep embeddings of these neural signatures into streaming infrastructures so that owners can maintain control, authenticity, and monetization of their intellectual property in the generative AI era. Eliminating copyright to accelerate AI is like changing the speed of light to advance physics—it misunderstands the fundamental laws that sustain creativity.”
(Our Advisers)
(Our Advisers)
(Our Advisers)
Prof. Dr. Percy Liang
Founder of MARIN Open Lab for Building Foundation Models, Associate Professor Computer Science Human-Centered AI (HAI) Artificial Intelligence Lab Natural Language Processing Group Machine Learning Group Co-founder of TogetherAI
Prof. Dr. Percy Liang
Founder of MARIN Open Lab for Building Foundation Models, Associate Professor Computer Science Human-Centered AI (HAI) Artificial Intelligence Lab Natural Language Processing Group Machine Learning Group Co-founder of TogetherAI
Prof. Dr. Percy Liang
Founder of MARIN Open Lab for Building Foundation Models Associate Professor Computer Science Human-Centered AI (HAI) Artificial Intelligence Lab Natural Language Processing Group Machine Learning Group Co-founder of TogetherAI
Prof. Dr. Percy Liang
Founder of MARIN Open Lab for Building Foundation Models Associate Professor Computer Science Human-Centered AI (HAI) Artificial Intelligence Lab Natural Language Processing Group Machine Learning Group Co-founder of TogetherAI
Prof. Dr. Percy Liang
Founder of MARIN Open Lab for Building Foundation Models, Associate Professor Computer Science Human-Centered AI (HAI) Artificial Intelligence Lab Natural Language Processing Group Machine Learning Group Co-founder of TogetherAI
Prof. Dr. Percy Liang
Director of Center for Foundation Models (CRFM) Associate Prof Computer Science Human-Centered AI (HAI) Artificial Intelligence Lab Natural Language Processing Machine Learning Group Co-founder of TogetherAI
Prof. Dr. Chris Re
Director FactoryHQ Prof Stanford AI Lab (SAIL) Professor Machine Learning Center for Research on Foundation Models
Prof. Dr. Chris Re
Director FactoryHQ Prof Stanford AI Lab (SAIL) Professor Machine Learning Center for Research on Foundation Models
Prof. Dr. Chris Re
Director FactoryHQ Prof Stanford AI Lab (SAIL) Professor Machine Learning Center for Research on Foundation Models
Prof. Dr. Chris Re
Director FactoryHQ Prof Stanford AI Lab (SAIL) Professor Machine Learning Center for Research on Foundation Models
Prof. Dr. Dan Boneh
Director Cybersecurity lab, Director, Center for Blockchain Research Director applied cryptography group Professor Computer Science Professor Electrical Engineering
Prof. Dr. Dan Boneh
Director Cybersecurity lab, Director, Center for Blockchain Research Director applied cryptography group Professor Computer Science Professor Electrical Engineering
Prof. Dr. Dan Boneh
Director Cybersecurity lab, Director, Center for Blockchain Research Director applied cryptography group Professor Computer Science Professor Electrical Engineering
Prof. Dr. Dan Boneh
Director Cybersecurity lab, Director, Center for Blockchain Research Director applied cryptography group Professor Computer Science Professor Electrical Engineering
Prof. Dr. Chris Re
Director FactoryHQ Prof Stanford AI Lab (SAIL)
Prof. Dr. Chris Re
Director FactoryHQ Prof Stanford AI Lab (SAIL) Professor Machine Learning Center for Research on Foundation Models
Prof. Dr. Chris Re
Director FactoryHQ Prof Stanford AI Lab (SAIL) Professor Machine Learning Center for Research on Foundation Models
Prof. Dr. Dan Boneh
Director Cybersecurity lab, Director CBR
Prof. Dr. Dan Boneh
Director Cybersecurity lab, Director, Center for Blockchain Research Director applied cryptography group Professor Computer Science Professor Electrical Engineering
Prof. Dr. Dan Boneh
Director Cybersecurity lab, Director, Center for Blockchain Research Director applied cryptography group Professor Computer Science Professor Electrical Engineering
John Thickstun, PhD
Head of Research Anticipatory Model Asst Prof Cornell, Stanford
John Thickstun, PhD
Head of Research Anticipatory Model Asst Prof Cornell, Stanford
Ben Resnick
Lead AI Models, CS, Brown CE
Ben Resnick
Lead AI Models, CS, Brown CE
Frederick Kautz
CISO, Agents Chair Kubecon, DOD Carnegie Mellon CE
Frederick Kautz
CISO, Agents Chair Kubecon, DOD Carnegie Mellon CE
Adrian Kramer
Senior Backend, Brown U CECE
Adrian Kramer
Senior Backend, Brown U CECE
Marina Titova
CFO, Imperial College
Marina Titova
CFO, Imperial College
Marily Nika, PhD
Liaison Officer 10 yrs Google Imperial College, CE
Marily Nika, PhD
Liaison Officer 10 yrs Google Imperial College, CE
Ciprian Costin
Product & Engineering Berklee College of Music
Ciprian Costin
Product & Engineering Berklee College of Music
Shubhr Singh, PhD
Signal Processing, C4DM Queen Mary London
Shubhr Singh, PhD
Signal Processing, C4DM Queen Mary London
Xavier Riley PhD
Voice Engine, C4DM Queen Mary London
Xavier Riley PhD
Voice Engine, C4DM Queen Mary London
Vijay Rudraraju
Senior Backend, UC Berkeley
Vijay Rudraraju
Senior Backend, UC Berkeley
Siqi Chen
Singing Engine, Stanford CCRMA
Siqi Chen
Singing Engine, Stanford CCRMA
Kiran Vincent Bath
Alignments, Stanford CCRMA
Kiran Vincent Bath
Alignments, Stanford CCRMA
Lejun Min
Voice DNA, Stanford CCRMA ICRL 2024, ISMIR 2023 CCRMA, MBZUAI
Lejun Min
Voice DNA, Stanford CCRMA ICRL 2024, ISMIR 2023 CCRMA, MBZUAI
Brandi Williams
Program Assistant, Google
Brandi Williams
Program Assistant, Google
Zhanna Tekleva
Content Director, UC Berkeley
Zhanna Tekleva
Content Director, UC Berkeley
Lamara De Brouwer
Senior Full Stack Engineer, SJSU
Lamara De Brouwer
Senior Full Stack Engineer, SJSU
Amin Chegini
Product Design & UI Dev, SUT
Amin Chegini
Product Design & UI Dev, SUT
(Our Team)
John Thickstun, PhD
Head of Research Anticipatory Model Asst Prof Cornell, Stanford
John Thickstun, PhD
Head of Research Anticipatory Model Asst Prof Cornell, Stanford
Ben Resnick
Lead AI Models, CS, Brown CE
Ben Resnick
Lead AI Models, CS, Brown CE
Frederick Kautz
CISO, Agents Chair Kubecon, DOD Carnegie Mellon CE
Frederick Kautz
CISO, Agents Chair Kubecon, DOD Carnegie Mellon CE
Adrian Kramer
Senior Backend, Brown U CE
Adrian Kramer
Senior Backend, Brown U CE
Marina Titova
CFO, Imperial College
Marina Titova
CFO, Imperial College
Marily Nika, PhD
Liaison Officer 10 yrs Google Imperial College, CE
Marily Nika, PhD
Liaison Officer 10 yrs Google Imperial College, CE
Ciprian Costin
Product & Engineering Berklee College of Music
Ciprian Costin
Product & Engineering Berklee College of Music
Shubhr Singh, PhD
Signal Processing, C4DM Queen Mary London
Shubhr Singh, PhD
Signal Processing, C4DM Queen Mary London
Xavier Riley PhD
Voice Engine, C4DM Queen Mary London
Xavier Riley PhD
Voice Engine, C4DM Queen Mary London
Vijay Rudraraju
Senior Backend, UC Berkeley
Vijay Rudraraju
Senior Backend, UC Berkeley
Siqi Chen
Singing Engine, Stanford CCRMA
Siqi Chen
Singing Engine, Stanford CCRMA
Kiran Vincent Bath
Alignments, Stanford CCRMA
Kiran Vincent Bath
Alignments, Stanford CCRMA
Lejun Min
Voice DNA, Stanford CCRMA ICRL 2024, ISMIR 2023 CCRMA, MBZUAI
Lejun Min
Voice DNA, Stanford CCRMA ICRL 2024, ISMIR 2023 CCRMA, MBZUAI
Brandi Williams
Program Assistant, Google
Brandi Williams
Program Assistant, Google
Zhanna Tekleva
Content Director, UC Berkeley
Zhanna Tekleva
Content Director, UC Berkeley
Lamara De Brouwer
Senior Full Stack Engineer, SJSU
Lamara De Brouwer
Senior Full Stack Engineer, SJSU
Amin Chegini
Product Design & UI Dev, SUT
Amin Chegini
Product Design & UI Dev, SUT
(Our Team)
(Our Team)
John Thickstun, PhD
Head of Research Anticipatory Model Asst Prof Cornell, Stanford
Marily Nika, PhD
Liaison Officer 10 yrs Google Imperial College, CE
Ben Resnick
Lead AI Models, CS, Brown CE
Frederick Kautz
CISO, Agents Chair Kubecon, DOD Carnegie Mellon CE
Xavier Riley PhD
Voice Engine, C4DM Queen Mary London
Ciprian Costin
Product & Engineering Berklee College of Music
Adrian Kramer
Senior Backend, Brown U CE
Marina Titova
CFO, Imperial College
Shubhr Singh, PhD
Signal Processing, C4DM Queen Mary London
Vijay Rudraraju
Senior Backend, UC Berkeley
Siqi Chen
Singing Engine, Stanford CCRMA
Kiran Vincent Bath
Alignments, Stanford CCRMA
Brandi Williams
Program Assistant, Google
Lejun Min
Voice DNA, Stanford CCRMA ICRL 2024, ISMIR 2023 CCRMA, MBZUAI
Zhanna Tekleva
Content Director, UC Berkeley
Lamara De Brouwer
Senior Full Stack Engineer, SJSU
Amin Chegini
Product Design & UI Dev, SUT
(Our Team)
John Thickstun, PhD
Head of Research Anticipatory Model Asst Prof Cornell, Stanford
John Thickstun, PhD
Head of Research Anticipatory Model Asst Prof Cornell, Stanford
Marily Nika, PhD
Liaison Officer 10 yrs Google Imperial College, CE
Marily Nika, PhD
Liaison Officer 10 yrs Google Imperial College, CE
Ben Resnick
Lead AI Models, CS, Brown CE
Ben Resnick
Lead AI Models, CS, Brown CE
Frederick Kautz
CISO, Agents Chair Kubecon, DOD Carnegie Mellon CE
Frederick Kautz
CISO, Agents Chair Kubecon, DOD Carnegie Mellon CE
Xavier Riley PhD
Voice Engine, C4DM Queen Mary London
Xavier Riley PhD
Voice Engine, C4DM Queen Mary London
Ciprian Costin
Product & Engineering Berklee College of Music
Ciprian Costin
Product & Engineering Berklee College of Music
Adrian Kramer
Senior Backend, Brown U CE
Adrian Kramer
Senior Backend, Brown U CE
Marina Titova
CFO, Imperial College
Marina Titova
CFO, Imperial College
Shubhr Singh, PhD
Signal Processing, C4DM Queen Mary London
Shubhr Singh, PhD
Signal Processing, C4DM Queen Mary London
Vijay Rudraraju
Senior Full Stack, UC Berkeley CE
Vijay Rudraraju
Senior Full Stack, UC Berkeley CE
Siqi Chen
Singing Engine, Stanford CCRMA
Siqi Chen
Singing Engine, Stanford CCRMA
Kiran Vincent Bath
Alignments, Stanford CCRMA
Kiran Vincent Bath
Alignments, Stanford CCRMA
Brandi Williams
Program Assistant, Google
Brandi Williams
Program Assistant, Google
Lejun Min
Voice DNA, Stanford CCRMA ICRL 2024, ISMIR 2023 CCRMA, MBZUAI
Lejun Min
Voice DNA, Stanford CCRMA ICRL 2024, ISMIR 2023 CCRMA, MBZUAI
Zhanna Tekleva
Content Director, UC Berkeley
Zhanna Tekleva
Content Director, UC Berkeley
Lamara De Brouwer
Senior Full Stack Engineer, SJSU
Lamara De Brouwer
Senior Full Stack Engineer, SJSU
Amin Chegini
Product Design & UI Dev, SUT
Amin Chegini
Product Design & UI Dev, SUT
(Our Team)
John Thickstun, PhD
Head of Research Anticipatory Model Asst Prof Cornell, Stanford
John Thickstun, PhD
Head of Research Anticipatory Model Asst Prof Cornell, Stanford
Marily Nika, PhD
Liaison Officer 10 yrs Google Imperial College, CE
Marily Nika, PhD
Liaison Officer 10 yrs Google Imperial College, CE
Ben Resnick
Lead AI Models, CS, Brown CE
Ben Resnick
Lead AI Models, CS, Brown CE
Frederick Kautz
CISO, Agents Chair Kubecon, DOD Carnegie Mellon CE
Frederick Kautz
CISO, Agents Chair Kubecon, DOD Carnegie Mellon CE
Xavier Riley PhD
Voice Engine, C4DM Queen Mary London
Xavier Riley PhD
Voice Engine, C4DM Queen Mary London
Ciprian Costin
Product & Engineering Berklee College of Music
Ciprian Costin
Product & Engineering Berklee College of Music
Adrian Kramer
Senior Backend, Brown U CE
Adrian Kramer
Senior Backend, Brown U CE
Marina Titova
CFO, Imperial College
Marina Titova
CFO, Imperial College
Shubhr Singh, PhD
Signal Processing, C4DM Queen Mary London
Shubhr Singh, PhD
Signal Processing, C4DM Queen Mary London
Vijay Rudraraju
Senior Full Stack, UC Berkeley CE
Vijay Rudraraju
Senior Full Stack, UC Berkeley CE
Siqi Chen
Singing Engine, Stanford CCRMA
Siqi Chen
Singing Engine, Stanford CCRMA
Kiran Vincent Bath
Alignments, Stanford CCRMA
Kiran Vincent Bath
Alignments, Stanford CCRMA
Brandi Williams
Program Assistant, Google
Brandi Williams
Program Assistant, Google
Lejun Min
Voice DNA, Stanford CCRMA ICRL 2024, ISMIR 2023 CCRMA, MBZUAI
Lejun Min
Voice DNA, Stanford CCRMA ICRL 2024, ISMIR 2023 CCRMA, MBZUAI
Zhanna Tekleva
Content Director, UC Berkeley
Zhanna Tekleva
Content Director, UC Berkeley
Lamara De Brouwer
Senior Full Stack Engineer, SJSU
Lamara De Brouwer
Senior Full Stack Engineer, SJSU
Amin Chegini
Product Design & UI Dev, SUT
Amin Chegini
Product Design & UI Dev, SUT