Live Event: Introduction to Machine Learning
Live Event: Introduction to Machine Learning
On Feb 23, with Christopher Dane Shulby, PhD. and Head of AI at Kin
Time: 4PM UTC (5 PM CET, 11 AM EST)
Christopher is uniquely qualified to share valuable insights into AI development and machine learning applications.
This event will be streamed live on both our Discord, X, and LinkedIn, offering an accessible platform for all members of the Kin community.
About Chris
Christopher Dane Shulby is the Head of Artificial Intelligence at Kin.
Working remotely from Lisbon, Portugal, Christopher is dedicated to developing AI technologies that prioritize user privacy and data protection. At Kin, the focus is on creating AI that not only aids in decision-making but also fosters meaningful human interactions.
Christopher holds a PhD in Computer Science and Computational Mathematics from the University of São Paulo, and is a proud graduate of The Ohio State University. His academic journey delved into Speech Recognition techniques, with a particular focus on acoustic modeling for non-native speech. This exploration has contributed significantly to the broader fields of speech and language processing.
His noteworthy publications include works on word embeddings, zero-shot multi-speaker text-to-speech models, mild-cognitive impairment detection, and acoustic modeling using various innovative architectures.
Before his current role at Kin, Christopher led Data Science operations at QuintoAndar in Portugal, tackling challenges in search, ranking, and Computer Vision. He also made significant contributions as a leader at Samsung on the Bixby project. His work at CPqD and Vocalize Speech Solutions further reflects his commitment to advancing research in speech technology.
In addition to his roles in various organizations, Christopher has been instrumental in leveraging Text-to-Speech (TTS), Language Model pre-training (LLMs), and Conversational AI technologies for software development and research, further enriching the AI industry's landscape.
His collaborative approach to leadership has helped foster teams that have developed top-notch products and models, making notable contributions to the AI industry for Fortune 500 companies. His ability to communicate complex technical concepts to a wider audience underscores his value as a leader in the tech community.
On a personal level, Christopher is a dedicated father and husband with a love for sports, open-water swimming, and exploring the globe. His multifaceted background and open approach to innovation, coupled with a strong team collaboration ethos, reflect his ongoing commitment to pushing the AI narrative towards a more private, personalized, and human-centric paradigm through Kin.
Publications
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
ICML 2023 · May 16, 2022
ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion
proceedings of INTERSPEECH 2023 · May 23, 2023
Patents
A Method for Phoneme Recognition with Little Data
BR BR 10 2019 016386-0 A2 · Filed Aug 7, 2019