Clarence Chio

Clarence Chio

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Cofounder & CEO
San Francisco, California, United States

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Résumé


Jobs verified_user 0% verified
  • Coverbase
    Cofounder & CEO
    Coverbase
    Dec 2023 - Current (2 years 6 months)
    Transforming procurement into a risk-aware, AI-driven advantage.
  • Macro
    Student (Macro Engineering Fellowship)
    Macro
    Oct 2022 - Dec 2022 (3 months)
    Built secure ERC-20, ERC-721, DAO governance, Liquidity Pool smart contracts. Helped me start my journey to deeply understand the EVM, the web3 security model, Solidity & tokenomics. Graduated with honors.
  • Forbes Technology Council
    Council Member
    Forbes Technology Council
    Jul 2021 - Jul 2023 (2 years 1 month)
    Member of the Forbes Technology Council.
  • UNIVERSITY OF CALIFORNIA BERKELEY
    Adjunct Professor, Security & Machine Learning
    UNIVERSITY OF CALIFORNIA BERKELEY
    Mar 2019 - Current (7 years 3 months)
    2023: Distinguished Faculty Award (MICS program) Lecturer in UC Berkeley's School of Information, teaching 2 courses in data science as part of the Data Science @ Berkeley and Master of Information and Cybersecurity program.
  • Unit
    Cofounder
    Unit
    Jan 2018 - Current (8 years 5 months)
    Building no-code tooling for risk operations, backed by Google.
  • Unit
    Cofounder, CTO / President
    Unit
    Jan 2018 - Aug 2023 (5 years 8 months)
    Building no-code tooling for risk operations, backed by Google.
  • OReilly
    Author
    OReilly
    Jan 2017 - Current (9 years 5 months)
    Author of “Machine Learning & Security” (2018) available in English, Mandarin, French, and Korean.
  • T
    Technical Advisor
    Tech Startups
    Mar 2016
    Ravello Inc. (Acquired by Oracle) - Mar 2016 to Jul 2016 Veertu Inc. - from Jul 2016 CYPHER Cyber Security Consultancy Limited (Hong Kong) - from Sep 2016
  • Oracle
    Security Consultant
    Oracle
    Jul 2015 - Jul 2016 (1 year 1 month)
    Penetration testing educational series for Ravello Systems (acquired by Oracle)
  • Intel
    Community Speaker
    Intel
    Oct 2014 - Oct 2015 (1 year 1 month)
    Developer evangelist, spoke at meetups across the country on building ML predictive monitoring software on Intel Edison chips.
  • Shape Security
    Senior Software Engineer
    Shape Security
    Jan 2014 - Sep 2017 (3 years 9 months)
    Acquired by F5 for $1B Cloud infrastructure (AWS/GCP), Spark, Elasticsearch, large scale monitoring, security research
  • Zazzle
    Software Engineer
    Zazzle
    Jun 2013 - Jun 2014 (1 year 1 month)
    Internship, part-time during school year, backend infrastructure, distributed monitoring framework, Elasticsearch, Nutch.
  • Sandisk
    Software Engineer
    Sandisk
    Jul 2012 - May 2013 (11 months)
    Internship, flash translation layer and page management systems for HDD/SSD hybrid drives.
  • M
    Public Policy Specialist
    Ministry of Community Development Youth and Sports
    Jan 2012 - Dec 2012 (1 year)
    Public disability assistance infrastructure, social enterprise grant programming.
  • C
    Researcher
    Center on Interfacial Engineering in Microelectromechanical Systems Stanford University
    Jun 2011 - Sep 2011 (4 months)
    Research on Nano-Electromechanical relay systems
  • M
    Public Policy Specialist
    Ministry of Home Affairs Singapore
    Apr 2010 - Jul 2010 (4 months)
    Research and proposals on national security issues.
Education verified_user 0% verified
  • Stanford University
    Master of Science (M.S, Computer Science
    Stanford University
    Jan 2013 - Dec 2014 (2 years)
    Artificial Intelligence (IMA)
  • Stanford University
    Bachelor of Science (B.S, Computer Science
    Stanford University
    Jan 2010 - Dec 2014 (5 years)
  • H
    Hwa Chong Institution
    Hwa Chong Institution
Projects (professional or personal) verified_user 0% verified
  • F
    Financial Marketplace Referee (Bayes Hack 2016)
    Apr 2016
    - Won overall 2nd place and top in the Department of Commerce category in Bayes Hack 2016 (http://bayeshack.org/) - Built a tool and an interfaceless app (via SMS query) for consumers to check if a financial product or institution is potentially involved in discriminatory or malicious lending practices. - By enriching the consumer complaint dataset with population demographic statistics sourced from the American Community Survey, our research shows that there exist notable relationships between companies that have received complaints from those geographical regions with the largest minority populations (on the 5-digit zipcode granulatity) and the companies that are eventually charged with discriminatory product offerings. - we show that our
  • B
    Beethoven vs. Taylor Swift (NuPIC Fall Hackathon 2014)
    Oct 2014
    - Attended the Numenta Platform for Intelligent Computing (NuPIC) fall Hackathon 2014. (18-19 October 2014) - Used and tuned the NuPIC cortical learning platform, worked with their implementations of the Cortical Learning Algorithm and Hierarchical Temporal Memory to develop a simple learning system for midi files. - We created 2 classifier models, one trained on many of Beethoven's piano pieces, and another trained on Taylor Swift's popular hits (e.g. Love Story). - We then fed in a new piece that the model has never seen before, and it would guess if the piece was written by Beethoven or Taylor Swift. - With more time and tuning, this could be used to tell apart pieces by composers in a more similar genre. (i.e. Beethoven and Chopin) - Wo
  • C
    Chain Check (Intel IoT Hackathon - Mountain View)
    Oct 2014
    - Won 3rd place for the Intel Internet-of-Things Hackathon. (4-5 September 2014) - Built a predictive maintenance system (pre-emptive "check-engine" light) for your bicycle. - Used the Intel Edison and Galileo (Gen. 2) microprocessor boards, along with sensors and breakout boards generously provided by Intel. - We gather signatures of how your bike chain and derailleur sound when they are running perfectly right after a tuneup, and periodically monitor how the sounds change over time. The premise is that we can use simple machine learning classification techniques to detect anomalies in the sounds, and be able to passively predict upcoming problems with your bike, without you having to monitor it. - Worked with 2 other teammates.
  • V
    Verbosity (Salesforce $1m Hackathon)
    Oct 2014
    - Attended the Salesforce $1m hackathon to build a mobile application on the Salesforce platform for enterprise-facing purposes. (10-12 October 2014) - Built a native android application that uses continuous speech recognition (Google Speech Recognizer API) along with some simple machine learning algorithms to classify unstructured speeches into structured meeting minutes. - Just provide it a simple topical agenda, and the app will be able to classify text snippets under the various topics, with contextual awareness and continuous online-learning. - Worked with 1 other teammate.
  • S
    Store Locator Wix Widget (Wix 24-Hour Code Lab)
    Sep 2014
    - Attended the Wix 24-Hour Code Lab (19-20 September) - Used the Wix widget API to build a customizable store geolocator widget for people using Wix to make websites. - Many small businesses use Wix to make their business websites, and need a simple store geolocator widget so their customers can enter a zipcode or city,state and find the closest store to them. - It was a highly requested widget that did not exist on the widget store. - Worked with 1 other designer
  • D
    Duolingus (SF Comedy Hack Day 2014)
    Sep 2014
    - Attended SF Comedy Hack Day 2014 (26-28 September 2014) - Made a web application/game that aims to improve the player's sex life. - Details are probably unsuitable for LinkedIn, but we had a good time. - Made it into the top 8 teams that went on to the finals presentation in Bravia theatre SF on 28th Sept to a crowd of 300+ - Got an honorable mention from the judges - Worked with a team of 3 comedians and 1 front-end developer.
  • M
    Missio Voting Cube (Electric Imp + PubNub Hackathon)
    Sep 2014
    - Won the grand prize for the Electric Imp + PubNub Internet of Things Hackathon (6 September 2014). - Built a hardware voting cube with Electric Imp wifi boards, using PubNub message passing APIs to achieve a distributed voting quorum network. - Perceivably useful in many situations, such as restaurants and parties. - Worked with 2 other teammates.
  • M
    Megalopolis (SF DataWeek Hackathon)
    Sep 2014
    - Attended the SF DataWeek Hackathon 2014, (13-14 September 2014) and won honorable mention in the overall category. - Built a web application that ripped live webcam streams (street cams), and used Python/OpenCV libraries to analyze the video stream - Achieved reasonable accuracy in the realtime counting of the number of human beings that appear in a video frame at each point in time - Mapped the counts of people on a map, and created a dashboard interface so the user can switch between different streetcams in Manhattan - Could be used for crowd control, public resource allocation, emergency services etc? - Worked with 2 other teammates
  • T
    TorChat Bot (Thorn x Formation 8 Hackathon)
    Aug 2014
    - Attended the Thorn Hackathon against child sexual exploitation (23-24 August 2014). - Attempted to build a man-in-the-middle eavesdropping chatbot on the TorChat network, where many paedophilic sexual predators lurk. - Did not manage to complete a fully working prototype of the idea due to the arcaneness of the TorChat APIs, but the project was validated by those involved in the industry. - Worked with 1 other teammate. - Would love to continue exploring this idea with any others who are interested to work on it with me.
Publications verified_user 0% verified
  • OReilly Media
    Machine Learning & Security: Protecting Systems with Data and Algorithms
    OReilly Media
    Feb 2018
    Co-authored a 400-page technical book on Machine Learning & Security with O'Reilly Media, one of the first books in this field.
  • DEF CON
    DEFCON 24 Talk - "Machine Duping 101: Pwning Deep Learning Systems"
    DEF CON
    Aug 2016
    - Independent research on practical deep learning classifier aversion techniques. - Released "deep-pwning" machine-learning penetration testing toolkit. - Chance to speak on the main stage at DEF CON 24. (4 Aug 2016)
  • B
    Making & Breaking Machine Learning Anomaly Detectors in Real Life
    BSides Las Vegas CODE BLUE BSides NYC Hack in Paris
    Aug 2015
    Improvement of the PHDays talk I gave in Russia in May 2015, with improved data and better demos. Selected from a CFP process to give a 55 minute talk in the "Ground Truths" track at BSidesLV15.
  • P
    Detecting Network Intrusions With Machine Learning-Based Anomaly Detection Techniques
    Positive Hack Days Conference Moscow Russia
    Apr 2015
    "Machine learning techniques used in network intrusion detection are susceptible to “model poisoning” by attackers. The speaker will dissect this attack, analyze some proposals for how to circumvent such attacks, and then consider specific use cases of how machine learning and anomaly detection can be used in the web security context." Selected to speak at InfoSec/White-hat conference in Moscow, Russia. Format is a 1-hour technical talk.
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