[Project Pascal FORUM by Kang Taeyoug, He Jingyang James, Zhang Chenxi]

 

 

PROJECT PASCAL FORUM

Data Science in Everyday Life: Practical Applications and Insights

Professor Joyce Shen, University of California, Berkeley

Moderator: Mr. Pow Chang

Host by Taeyoung Kang, Chenxi Zhang

Venue: Zoom Online

Date: 27 May 2023, Saturday 10:30am [GMT+8]

Greetings, Project Pascal Forum members,

We embark on a journey of enlightenment, engaging in a discourse that delves profound into the tangible manifestations of data science and artificial intelligence within our quotidian existence. This forum functions as a dais for exploring the profound impacts these technological marvels wield in our livelihoods, traversing the intricacies of healthcare to the dynamics of our global climatic landscape.

Our conversations will unveil the transformative potential of data science and AI, examining their role as catalysts of change across various industries. We shall navigate the intersection of technology and inequality, seeking solutions to bridge the digital divide and foster equitable growth.

In our exploration, we will contemplate the pivotal significance of education as the great equalizer, empowering individuals from underserved communities to harness the full potential of technology. Moreover, we shall delve into the ethical imperatives that envelop technological advancement, accentuating the imperative for judicious application during this epoch of whirlwind transformations.

Our odyssey will extend beyond technology, venturing into the realm of mathematics as the very bedrock upon which artificial intelligence is constructed. We will explore how a substantial grounding in mathematical disciplines equips individuals with the ability to metamorphose into architects and innovators within the sphere of AI.

As we make headway, it becomes manifestly clear that a comprehensive approach is sine qua non to excel in this epoch of AI and data science. We shall ruminate upon the art of “learning how to learn,” fostering critical thinking skills, and embracing ethical stewardship as the foundational tenets of triumph.

Together, we’ll navigate this intricate nexus of technology and inequality, aiming to shape a more inclusive and equitable future. We extend our profound gratitude to our distinguished contributor, Professor Shen, whose sagacious insights have illuminated our trajectory and enriched our understanding of technology’s function in our contemporary sphere.

Join us in this enlightening journey as we unravel the enigma of data science and AI’s real-world impact.

Welcome to our forum, and let the discussions commence!

-Kang Taeyoug, Zhang Chenxi

 

Keynote speaker:

Professor Joyce Shen, Faculty at the School of Information of UC Berkeley.

Prof. Shen is a venture capital/private equity investor and business builder. Her technical expertise centers around emerging technologies, machine learning & AI, data economy, and cybersecurity. She has published books on technology and innovation and is a patent holder on detecting and locating unsecured sensors in critical infrastructures. With significant cross-functional experience that span venture capital/private equity investing, technology M&A, corporate finance/CFO, corporate strategy, technology and product innovation, operations, and go-to-market, She has extensive strategy, financial, and operational experience and deep knowledge in incubating, investing in, growing, and managing new businesses in both global public companies and early to growth technology startups. She has partnered with companies of all sizes to build strong teams, unlock growth levers, implement innovative technology and data science business cases, and establish strong financial, operational, and governance oversight for long-term success.

Prof. Shen currently serves as the Investment and Operating Partner at Tenfore Holdings, responsible for sourcing, investing in, and managing early to growth stage technology investments. Previously, She was the Global Managing Director in the Office of the CTO responsible for emerging technology strategy, startup partnerships, and venture investments at Thomson Reuters. Prior to Thomson Reuters, she was the founding Chief Financial Officer & Chief Operating Officer of IBM Cloud Platform responsible for a multi-billion P&L. Before that, Joyce led finance, operations, and acquisition integration of the $1 billion Collaboration and HR SaaS software business. She started her career in IBM M&A Corporate Development closing acquisitions over $6 billion in cloud, data management, and security. Prof. Shen serves on the boards of various technology companies.

She also serves on the innovation advisory council for the World Food Programme and was a member of the advisory board for Enterprise Estonia, Per Scholars, and Sponsors for Education Opportunity (SEO) Junior Leadership Board.

Prof. Shen received two bachelor’s degrees in Statistics and Economics from The University of Chicago and an MBA with concentrations in Quantitative Finance, Entrepreneurship, and Strategy from The University of Chicago Booth School of Business.

Moderator :

Pow Chang : With over 20 years of experience in the high-tech industry, He is an accomplished IT and Artificial Intelligence professional with a unique blend of technical and business expertise. He hold a Master’s degree in Information and Data Science from UC Berkeley, an MBA from NUS Business School, a Master in Global Finance from NYU Stern School and HKUST, and a Bachelor’s in Electronics and Electrical Engineering from NTU.

He has worked with Fortune 500 companies and played significant roles in multiple stealth startups, where he has launched applications in e-commerce, machine learning, data analytics, and blockchain technologies. My technical skills include deep-link data analytics, natural language processing, predictive modeling using open ML libraries in the cloud, and blockchain solutions. He is proficient in a variety of technologies, including TensorFlow, Keras, Pytorch, and generative technologies.He has completed postgraduate certificates in Cybersecurity and Big Data from MIT and received the NYU Tandon Cyber Fellow Scholarship.