project-appendix

COVID-19: Connecting Students in a Remote-First World

My team and I are currently working on this project in my Product Management class. We are trying to come up with a product that would help college students develop new connections and sustain existing friendships in a remote-first world. More details to come when project is completed. 

COVID-19: Mitigating Potential Propagation by Truck Drivers in Botswana

Brief Description: When the COVID-19 pandemic broke, many government decision makers around the world had to act quickly. One of the professors in my department, Professor Ashish Goel, realized that there was a disproportionate distribution of efforts to model the pandemic between previously colonized countries and the west. He put together a project class to use computer modeling to help previously colonized countries confront the pandemic. My team and I worked with contacts at the Presidential TaskForce on Covid-19 in Botswana to model the unique problem of managing the risk of cases imported via the ground transportation of essential goods and services from their hard-hit neighbors. I recorded a YouTube video to go over the final presentation we gave in more detail. After the class ended, I recruited another colleague to continue working on the project under Professor Goel's supervision. You can read up on our work here

Early Warning Systems for Chemical Weapon Agent Detection

Brief Description: As the Defense Threat Reduction Agency continues to improve the preparedness of the United States Military to respond to CWA attack events against the homeland or their allies, one of the areas of focus is on the technology needed to warn of the presence of chemical weapon agents. The accurate and timely detection of these chemical weapon agents is important for two reasons. On the one hand, unnecessary evacuations are costly and should be minimized. On the other hand, failure to evacuate civilians in the event of an actual CWA attack can have catastrophic results. Given the uncertainty in the distribution of attacks over different types of location, there is a need for whatever technology packages that DTRA invests in to have enough flexibility to be used in an extensive range of contexts. Our project hopes to provide insights on an optimal investment in a portfolio of CWA sensing technology to minimize the expected cost per life saved across all probable attack scenarios.  Read our final report here.

Using An Influence Diagram to Represent the UWC NC Selection Problem

Dryve Africa: Second-Hand Car Repair and Maintenance in Lagos, Nigeria

Brief Description: I worked with two colleagues from the Graduate School of Business on this project as part of the Startup Garage course at the Stanford GSB. The project sought to alleviate the frustrations of car owners and drivers in Lagos, Nigeria (with the hopes of expanding to the rest of the African continent) around the repair and maintenance of second-hand vehicles. As a self-identified entrepreneur and aspiring Venture Capitalist serving African entrepreneurs, I joined this project as a way of getting my "feet wet". I was especially drawn to this project because of its potential to generate dignified and well paying employment for many in Nigeria by semi-professionalizing the second-hand car repair industry. While I will not be continuing with the project, which has now been rebranded as AutoCorp, I am grateful to my team for inviting me to take part in their journey. I have learned a lot about the iterative formulation, validation, and testing of hypotheses in a startup. These are lessons I will take forth to my next entrepreneurial adventure, formal employment opportunity, and especially, to the entrepreneurs I will support in my future work as a VC.

Maneuvering Characteristics Control Systems using Discrete-Time MDPs

Abstract: An effective Maneuvering Characteristics Augmentation System (MCAS) will mitigate the risk of stalls during takeoff for Boeing 737 MAX 8 aircraft. In this paper, we develop a flight simulator for modeling the flight trajectory of an aircraft throughout takeoff. We then proceed to model the MCAS system aboard these aircraft as a discrete-time Markov Decision Process and subsequently compute the MDP’s optimal policy. Using this optimal policy, the MCAS system is able to prevent 95% of the stalls that would have otherwise occurred in absence of the MCAS system’s intervention. Read our paper here

MS&E Capstone Project: Grant Application Process Optimization

Executive Summary: We undertook this project to help streamline the grant application process at [the client]. Having previously lost lost funding of at least $50,000 due to a missed e-mail, the [client] team is concerned about the possibility of missing an important deadline or grant requirement. This is because they do not currently have standard protocols across the organization to manage the multiple grants they receive from different sources every year. Upon further investigation, we found that [client] is also at risk of losing its institutional records in the event of turnover in their leadership. Furthermore, their lack of standardized protocols for record keeping and approaching the grant application process leads to avoidable inefficiencies and frustrations within the team. The key people involved in the grants process have different comfort levels with technical tools, but are eager for a solution that simplifies their work. With these findings in mind, we recommend that [the client] harness their existing technical platforms to create a system for safeguarding institutional records and enabling collaboration within the team. Moreover, we recommend that they incorporate Asana into their grant application process to help keep track of the requirements of the different grants they receive. Lastly, we recommend that [the client] standardize their processes beyond just grant writing, including the periodic review of their protocols for record keeping and grant writing. 

Spring Valley Coffee (Kenya) Project

We worked with Spring Valley Coffee to help them with their Social Impact Strategy. We conducted an ecosystem analysis and identified opportunities where they could create sustainable value for various stakeholders beyond just the shareholders, employees, and the coffee bean suppliers. 

The Future of Online Dating

Abstract: Dating is something that will be relevant in our society for decades to come. Since the creation of Match.com in 1995, the online dating industry has grown and evolved rapidly. Today, hundreds of dating applications, platforms, and sites exist for all individuals. However, as technologies develop, the capabilities of such entities become almost unbelievable. This report details the future of online dating as it relates to the advancement of technology. Specifically, we aim to create a perspective on the state of online dating by 2030. Read our report here.

Research Experience for Undergraduates with Professor Pam Hinds and Tim Weiss

I worked with Professor Pamela Hinds and Tim Weiss on The Emergence of Data Analytics in South Africa and Technology Entrepreneurship in Kenya. On the Data Analytics project, I was responsible for identifying data sources, then analyzing them for insights to inform an upcoming study by my advisors. I identified the key variables the study should pay close attention to, as well as recommend questions the study should attempt to answer. Through this study, I gained insights into factors affecting the adoption and use of data analytics by corporate, governmental, and educational institutions in South Africa. On the Technology Entrepreneurship project, I designed the Coding Rubric to enable my advisor to analyze the data and draw useful insights from it. I also assisted with the training of the other research assistants who joined the project along the way. I gained insights into some of the factors that may affect the success of technology startups in the Kenyan ecosystem. 

Cardinal Quarter Fellowship with Sarvodaya in Sri Lanka

This fellowship, funded through the Haas Center for Public Service at Stanford University, allowed me to intern with Sarvodaya. I worked closely with the Executive Director evaluating some of their online systems, including their Monitoring and Evaluation Systems, and applying minor edits to some of them, for example their Deshodaya website template. Additionally, I built a local database management system powered by Microsoft Access. Although the project is still incomplete, I was a part of a team of volunteers debugging an online database management system. I improved on my investigation skills, database design with Microsoft Access, and ability to work well within a virtual team. I also learned a little bit of web development. This experience has highlighted some opportunities for growth in my programming skills. As shown on the picture above, I also assisted in whatever task needed to be done. This ranged from proofreading some of my colleagues' documents in English to participating in the office-wide service activities such as clearing grass because of a dengue outbreak. This was a fulfilling experience, and it also allowed me to see that I want to impact the world through for-profit activities. 

BOSP Overseas Seminar in Sri Lanka

Abstract (Presented at the 2018 APHA Conference in San Diego, California)

Background: This Community Engaged Learning course was a collaboration between Stanford University and our community partner, Sarvodaya in Sri Lanka (2015-2017). In conjunction with Sarvodaya, students developed a collaborative community-based project to gain a deeper understanding of the infrastructure that builds healthy communities. 

Methods: Sarvodaya facilitated a partnership with a rural Sri Lankan village. Using Participatory Photo Mapping (PPM), a community-based research method that combines photography and narratives within a specific geography, students worked with villagers to identify a community issue and viable solutions. A diverse group of village members identified a place of local importance to photograph and took pictures. A focus group with all community members commented on the projected images, identifying and deepening knowledge of issues; the most prominent of which was environmental pollution around a treasured ancient reservoir. Qualitative data analysis methods were used to identify the community's key themes and proposed solutions. 

Results: Findings were presented to the villagers and together, one solution of increasing signage to prevent pollution at the reservoir was selected for its feasibility and projected impact. After the trip, students compiled photographs, comments and themes to give to the community. Students also raised money, which was sent to the village to purchase signage. 

Conclusion: After data analysis, students and instructors developed a report that was compiled and vetted with our community partner. At our partners request, the paper report was shared with the village leaders and photographs and the power point were shared on five flash drives.