d.School Prep
(2019 - 2026)

"My Great AI Acceleration"

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​​A. Self-Initiated Collaborations and In-Person Research at UC Berkeley and Stanford: 

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1. Stanford (2026) "Human-Centered Al: Designing Systems People Trust," hosted by Professor, Dr. Landay Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI), to explore how to design AI systems that enhance human capabilities, earn stakeholder trust, and influence decisions. 

2. Stanford (2026) "Humans Navigating Complexity with Al Helpers," hosted by Dr. Wan-Lin Hu @ SLAC, to guide the design of trustworthy Al helpers that complement human expertise rather than replace it. 

3. Stanford (2025) attended the Sustainability Accelerator Seminar, two of the US – Asia Technology Management Center Seminars on AI Talent in Vietnam and Evolving LLMs and AI in Asia, and the SUST234 Energy Entrepreneurship Conversation hosted by the Explore Energy House.

4. Stanford (2022 - 2025) sat MS&E211x Accelerated Optimization and met with Dr. Yinyu Ye, currently academic mentor and adviser on optimization towards a fairness algorithm and cyber-social systems applied to financial engineering innovations based on motivational game theory. 

5. Stanford (2023 - 2025) sat AA228 Decision Making Under Uncertainty and met on campus with professor, Dr. Mykel Kochenderfer, towards the integration of hypersonic aerospace algorithms into quantum finance, and played ultimate frisbee with the Stanford Intelligent Systems Lab (SISL).

6. Berkeley (2023) sat ENERES200 Energy and Society and met on campus with Dr. Dan Kammen about emergent energy policy science and inertial fusion energy systems.

7. Berkeley (2023) sat AEROENG162 Intro to Flight Dynamics and studied with Dr. Thomas Lombaert about aerospace equations, systems, and advanced design.  

8. Berkeley (2023) met with the Chair of Nuclear Engineering, Dr. Karl van Bibber and interviewed him about the first fusion ignition that just happened at the Lawrence Livermore Labs and discussed micro modular fusion reactors and microgenerator designs. 

9. Stanford (2023) met with Dr. Tania Ferreira and Dr. Catherine Gorle from the Stanford Wind Engineering Lab doing work with Airbus UpNext Innovation in collaboration with The Perlan Project about research on high-altitude, Hydrogen jet propulsion contrail mitigation for my Clean Hydrogen Aerospace project.

10. Stanford (2023) met with Brian Bartholomeusz, Director of the TomKat Center for Sustainable Energy at the Energy Innovation Ecosystem Seminar and forged a fire-brand focused on Advanced Aerospace Innovation Transfer focused on Clean Hydrogen Aerospace for Airbus ZeroE aircraft. 

11. Stanford (2023) attended the weeklong HPC-AI Advisory Council Conference, led by Steve Jones, Director of the Stanford HPC Center, with many speakers on their work with HPC and the future of AI, including  Dr. Brian Spears, Cognitive Simulation and Fusion specialist at the Lawrence Livermore Labs.

12. Stanford (2022) sat MS&E245A Investment Science with Dr. Markus Pelger focused on the oncoming impact of interest rate hikes. 

13. Stanford (2022) Bits and Watts research discussion on polymer battery technologies and designs for noninflammatory encasings. 

14. Stanford (2019) attended the AFTL Faster FinTech Conference on the dangers and opportunities of quantum finance.​

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=> Mission: Become aware of the most pressing emerging energy technologies via personal interactions with the academic experts who are at the tip of future trajectories and have fun while doing it. 

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B. Stanford Continuing Studies, Specialized on AI for Business, Guided by Charlie Flanagan, Ex Google Duplex Data Scientist, Currently the Chief AI Officer (Bloomberg Interview) at BAM Elevate Hedge Fund: 

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1. Winter 2026, TECH16 (1 unit) Large Language Models for Business. 

2. Winter 2025, PHI129 (2 units) AI and Ethics, a Practical Philosophy for our Uncertain Tech Future.

3. [Winter 2025, ARC03 (0 units) Mesoamerican and Peruvian Art and Archaeology.] 

4. Spring 2023, CS06 (1 unit) Data Visualization with Python for Business. 

5. Winter 2023, CS68 (0 units) Machine Learning with Python for Business. 

6. Winter 2022, STAT05 (2 units) Statistics for Artificial Intelligence. 

7. Summer 2021, CS73 (1 unit) Decision Making Under Uncertainty. 

8. Fall 2020, CS06 (2 units) Data Visualization with Python for Business. 

9. Summer 2020, CS68 (1 unit) Machine Learning with Python for Business. 

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=> Mission: Design proprietary chatbots that rupture traditional paradigms of financial engineering; e.g., hedges, derivatives, and predictive markets, making novel financial instruments possible. 

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C. Portland State University Maseeh College of Engineering, Graduate Certificate in Strategic Management of Technology, Guided by Professor Dr. Tugrul Daim, Currently the ETM Doctoral Program Director,  

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1. Spring 2023, ETM506 (5 credits) Inertial Fusion Energy Research Project. 

2. Winter 2023, ETM506 (5 credits) Clean Hydrogen Aerospace Research Project. 

3. Fall 2022, ETM506 (1 credit) Emergent Energy Evaluation Research Project. 

4. Fall 2022, ETM520 (4 credits) Engineering and Technology Management. 

5. Spring 2022, ETM506 (1 credit) Emergent Tech Evaluation Research Project. 

6. Winter 2022, ETM506 (1 credit) Decision Making Research Project. 

7. Winter 2022, ETM530 (4 credits) Decision Making Analysis. 

8. Fall 2021, ETM506 (1 credit) Technology Assessment Research Project. 

9. Fall 2021, ETM531 (4 credits) Technology Assessment and Acquisition. 

10. Summer 2021, ETM534 (4 credits) Technology Roadmapping. 

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=> Mission: Gain expertise in engineering and technology management skillsets, learn decision making models, launch self-initiated research projects, and build new academic alliances. 

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D. Stanford Summer Session Graduate School of Engineering, Specialized on Design of AI Clusters with the Yellowstone Supercomputer to Solve Dynamic Problems, Guided by Steve Jones, Currently the Director of the Stanford High Performance Computing (HPC) Center: 

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1. Summer 2022, ME344S High Performance Computing AI Seminar led by global CEO guests who elucidated the future of machine learning, artificial intelligence, and HPC, including the CEO of Cerebras. 

2. Summer 2020, ME344 Intro to High Performance Computing with Python-built clusters in student teams on the Yellowstone supercomputer to solve many types of societal, medical, and business problems.

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=> Mission: Practice highest-level computer science with a dedicated purpose to dissolve the corona outbreak quagmire into a dynamic equation of probability while open to epiphanies.

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E. Stanford Institute of Computational and Mathematical Engineering (ICME) Summer Certificate Program, Fundamentals of Data Science (2021), Intermediate Fundamentals of Data Science (2022), and Generative Artificial Intelligence Large Language Models in (2023): 

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1. Summer 2023, Generative Models for Artificial Intelligence Systems professor Aashwin Mishra. 

2. Summer 2022, Data Visualization in Tableau with Dr. Kathryn Potts and Dr. Luca Alessi. 

3. Summer 2022, Intermediate Natural Language Processing with Dr. Afshine Amidi. 

4. Summer 2022, Intermediate Deep Learning with Dr. Alexander Ioannidis. 

5. Summer 2022, Intermediate Machine Learning with Dr. Sherrie Wang. 

6. Summer 2022, Data Privacy and Ethics with Dr. Johan Ugander. 

7. Summer 2022, Intro to Statistics with Dr. Guenther Walther. 

8. Summer 2021, Intro to Natural Language Processing with Dr. Luke de Oliveira. 

9. Summer 2021, Intro to Mathematical Optimization with Dr. Kevin Carlberg. 

10. Summer 2021, Intro to Machine Learning with Dr. Alexander Ioannidis. 

11. Summer 2021, Intro to Deep Learning with Dr. Sherrie Wang. 

12. Summer 2021, Linear Algebra with Dr. Margot Gerritsen. 

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=> Mission: Engulf the forefront of artificial intelligence by practicing it with technical experts in consolidated formats to envision the future uses of AI in management and design.​​​​​​​​​​​​​​​​​​​

F. Stanford Graduate School of Business Executive Program in Social Entrepreneurship (EPSE), Hosted by the Center for Social Innovation, Including a Residential Week on Campus in February 2020 with a Cohort of 32 Global Executives and CEOs from Around the World, Devoted to Social Entrepreneurship, Global Interconnectedness, Design Thinking, and Impact Investing: 

1. Amphibious Entrepreneurs and Creation of New Organizations with Dr. Walter Powell.

2. Balancing Business and Social Objectives Strategy with Dr. William Barnett.

3. Developing and Evaluating a Strategy for Impact with Dr. Paul Brest.

4. Design Thinking Bootcamp with Sarah Soule and Matt Rothe. 

5. Decision Making & The Instinctual Brain with Dr. Baba Shiv. 

6. Scaling Up Excellence with Dr. Hayagreeva Huggie Rao. 

7. Networking, Excursions, and Discussions with Cohort. 

8. Mission and Strategic Identification with Sarah Soele. 

9. The Power of Story with Dr. Jennifer Aaker. 

10. Impact Investing with Paul Pfleid.

=> Mission: Fine tune and practice impact investing skills in the company of global executives, CEOs, and entrepreneurs who similarly seek to profitably build a better world. 

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