Karan Goel

Co-Founder

Stanford, California, United States6 yrs 1 mo experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Founder of Cartesia, focusing on state space models.
Extensive experience in machine learning research.
Strong academic background with a PhD from Stanford.

Stackforce AI infers this person is a Machine Learning and AI expert with a strong research background.

Contact

kgoel93@gmail.com LinkedIn

Skills

Core Skills

Machine LearningArtificial IntelligenceDeep LearningResearchEntrepreneurshipVenture CapitalGraph GenerationReinforcement LearningSample EfficiencyAutomated FeedbackIntelligent Tutoring SystemsEducational Data MiningTeachingHuman-in-the-loop SystemsImage SegmentationData Mining

Other Skills

AlgorithmsBusiness IntelligenceC++Computer ScienceCrowdsourcingData AnalysisData AnalyticsDebatingHTMLHuman Computer InteractionJavaProgrammingPythonR

About

Building Cartesia and bringing state space models to the mainstream.

Experience

Cartesia

Founder / CEO

Sep 2023 – Present · 2 yrs 6 mos · San Francisco, California, United States

Snorkel ai

Research Scientist

Jul 2021 – Dec 2021 · 5 mos

Deploying my research from Stanford into production at Snorkel.

ResearchMachine Learning

Greylock

Greylock X Fellow (2020)

Jun 2020 – Oct 2020 · 4 mos · Palo Alto, California, United States

Learning about entrepreneurship and the VC industry.

EntrepreneurshipVenture Capital

Salesforce

2 roles

Machine Learning Researcher, Salesforce AI Research

Sep 2019 – Mar 2022 · 2 yrs 6 mos

Part-time collaboration on evaluating machine learning models.

Machine LearningArtificial Intelligence

Deep Learning Research Intern, Salesforce AI Research

Jun 2019 – Sep 2019 · 3 mos

Supervised by Dr. Nazneen Rajani, Dr. Stephan Zheng, Dr. Caiming Xiong and Dr. Richard Socher. Generalization and interpretability in (deep) reinforcement learning.

Deep LearningMachine Learning

Stanford university

4 roles

PhD Rotation Student

Apr 2019 – Jun 2019 · 2 mos

Supervised by Prof. Jure Leskovec. Graph generation using reinforcement learning.

Graph GenerationReinforcement Learning

PhD Rotation Student

Jan 2019 – Apr 2019 · 3 mos

Supervised by Prof. Chris Ré. Incorporating additional supervision to improve sample efficiency and transfer in inverse reinforcement learning.

Reinforcement LearningSample Efficiency

PhD Rotation Student

Sep 2018 – Dec 2018 · 3 mos

Supervised by Prof. Emma Brunskill and Prof. Fei-Fei Li. Providing automated feedback for people learning physical tasks.

Automated FeedbackReinforcement Learning

Visiting Research Assistant

Jul 2017 – Aug 2018 · 1 yr 1 mo

Supervised by Prof. Emma Brunskill. Hierarchical abstractions in deep reinforcement learning, reinforcement learning for intelligent tutoring systems and learning abstractions from offline batch data. See our ICLR 2019 and AAMAS 2019 papers.

Reinforcement LearningIntelligent Tutoring Systems

School of computer science, carnegie mellon university

Graduate Research Assistant

Jul 2016 – May 2018 · 1 yr 10 mos · Greater Pittsburgh Region

Supervised by Prof. Emma Brunskill. Efficient policy search for optimal stopping and applications of reinforcement learning to educational data mining. See our IJCAI 2017 paper and NeurIPS 2018 workshop writeups.

Reinforcement LearningEducational Data Mining