About Me

Hi! My name is Megha Joshi and I am a senior at Yale University studying Computer Science and Economics with a Certificate in Data Science. I am a passionate researcher and software engineer who hopes to solve today's problems with next-generation solutions that are both efficient and effective. While in New Haven, I research with the Interactive Machines Group focusing on gaze mechanisms with Shutter, our Robot Photographer! I am also actively involved with the Women and Gender Minorities in Computer Science (WiGCS) Board and have contributed to the board for the Yale Computer Society.

For the last two summers I have worked with Google. I worked on the Geo EngProd team last summer creating a full stack dashboard that exposes test framework usage. The summer before that I worked on the Google Cloud UI/UX team creating an end-to-end notification system for internal multi-party access approvals. I have experience in Python, C, C++, R, Golang and SQL. I am always looking to grow as a software engineer, please feel free to reach out if you have any potential opportunities!

In my freetime I love to teach and explore. I am the co-founder of an educational company called Code With Me that I started with my brother, where we teach elementary and middle schoolers the basics of code in a fun and engaging way. I also have taught some core CS classes at Yale (Data Structures and Intro to CS) as an Undergraduate Learning Assistant (ULA). Being from Oregon, I spend a large portion of my freetime exploring the PNW. If you have any questions about my work, research, hobbies, or life at Yale, be sure to reach out! In the meantime, happy scrolling!

Experience

Education: Yale University - Candidate for B.S. in Computer Science and Economics and Minor in Data Science

Relevant Coursework: Intelligent Robotics (CPSC 472), Machine Learning (S&DS 265), Systems Programming & Computer Organization (CPSC 323), Data Structures and Programming Techniques (CPSC 223), Object-Oriented Programming (CPSC 327), Mathematical Game Theory (CSEC 351), Microeconomics (ECON 121), Econometrics (ECON 117/123), Data Exploration and Analysis (S&DS 230), Probability Theory (S&DS 240)

Software Development
Google Software Engineering Internship - Geo EngProd Team (Seattle, WA, Summer 2022) Creating a full stack test framework adoption metrics tool with easy-to-use data visualization dashboard Google STEP Internship - Google Cloud Team (Remote, Summer 2021) Built an end-to-end notification system for MPA requests increasing developer velocity while maintaining Google security. Completed entire development process, including writing design docs, implementation, going through design reviews, creating appropriate test cases, and launching internally. Communicated notification system progress through team demos, shared knowledge through team presentations and handoff documents.

Research
Yale Interactive Machines Group (New Haven, CT, August 2021 - Present) Analyzed papers that had shown success with the use of gaze mechanisms in multimodal group settings. Assisted with deployment of robot photographer “Shutter” and empirical testing of body tracking through Shutter's Kinect system. Attended weekly lab meetings and proposed future work for testing Shutter's influence in a group setting under COVID-19 masking mandates. Currently plan to help build a dataset of conversational group formations observed from Shutter. Yale First Year Research Fellowship (Remote, February 2020 - February 2021) Worked to assess the potential advantages and disadvantages of personalized genomics in the context of privacy using data-driven algorithms. Wrote group grant proposal titled “Furthering Machine Learning Applications in COVID-19 Research with Diverse Aggregated Datasets and Generalized Ensemble Model”.

Teaching
Yale CS Student Assistantship (New Haven, CT, August 2021 - May 2021) Supported Office of Career Strategy's STEMConnect team in best preparing students for the CS/data science internship and job market. Created a variety of graphics that inform students coming into college at different levels how they can best use technical programs to their advantage. Data Structures and Programming Techniques ULA (New Haven, CT, August 2021 - December 2021) Taught and led office hours to help students understand data structures conceptually and reviewed/debug problem sets in C. Taught concepts including abstract data types, stacks, queues, hash tables, maps, binary search trees, heaps, and graphs. Intro to Computer Science ULA (New Haven, CT, June 2020 - July 2021) Taught CS concepts to over 50 students including arrays, algorithms, memory mgmt., data structures and Python. Mentored 30 web development projects and advised on API integrations. Graded assignments, quizzes, and exams on a weekly basis.

Research Portfolio

I have always been fascinated with the intersection of human behavior (whether that be anatomical or psychological) and technology. At Yale, I have been able to explore that intersection by focusing on behavioral economics with an application of CS, and plan to use this while doing research with robotics.

Since 2015 I have worked in a variety of labs both in the state of Oregon and at Yale. I initially began my work interested in genetic materials and how we are capable of editing it with new technologies such as CRISPR/Cas9 at Oregon State University. This prompted me to delve into the world of Nanomedicine where I worked with the Sahay Lab at Oregon Health and Sciences University.

As I entered Yale and during the height of the pandemic, I completed a fellowship with the Gerstein Lab working to assess the potential advantages and disadvantages of personalized genomics in the context of privacy using data-driven algorithms.

I now work with the Interactive Machines Group, focusing on understanding how robots can influence human behavior through gaze mechanisms.

Megha Joshi

About Me

Experience

Research Portfolio

Interactive Machines Group (Robotics)

Gerstein Lab (Bioinformatics)

Sahay Lab (Nanomedicine)

Strauss Lab (Genetics)

Pacific Northwest