ESP Biography



NATASHA STAMLER, MIT Mechanical Engineering Graduate Student




Major: Mechanical Engineering

College/Employer: MIT

Year of Graduation: G

Picture of Natasha Stamler

Brief Biographical Sketch:

Hello!

I am Natasha, a first-year graduate student studying mechanical engineering, with a focus on heat and mass transfer, energy, and sustainability. I'm originally from New York City and had my first formal introduction to engineering through FIRST robotics. This year I'll be helping teach a class on CAD, an important skill in transforming ideas into reality.



Past Classes

  (Clicking a class title will bring you to the course's section of the corresponding course catalog)

E15943: How to CAD Almost Anything! - HS Edition in HSSP Spring 2024 (Mar. 02, 2024)
Ever wondered how objects from our daily lives are designed? How can we generate a computer 3D model of a mug, a bottle of Diet Coke, or a Saturn V rocket? What about designing the blades of a jet-engine? A test dummy? How about making an animation of a LEGO house building itself? Or making a realistic render of a bowl of fruit? In this workshop, you will learn the skills to design all of these, and much more! Designed for beginners and pro-users alike, this workshop (HS Edition) is split into 5 sessions, the first half of which will be spent learning new Solidworks/Fusion 360 skills (computer-aided design softwares), the second half of which will see the application of these news skills through in-class activities, with a focus on reverse engineering. In contrast to traditional mechanical design courses, this workshop places greater emphasis on the design process itself, understanding how we can plan and best leverage our available tools to arrive to our desired result. Thus, the sessions are less about following the instructions on an engineering drawing, but about independent thinking and strategizing, reverse engineering an object into a 3D model.


C13156: Getting the Gist of GIS aka The Magic of Maps in Splash 2019 (Nov. 23 - 24, 2019)
Big data! Data visualization! Those are some spicy keywords. Come have a non-programmer show you some cool ways to map large quantities of spatial data and solve complex, real-world problems. There will be minimal to no coding. The goal of this class is to show you how to approach problems across locations and communicate your solution, while providing you with the resources to continue exploring for yourself. Laptop recommended for self-guided exploration at end of class but not necessary for main course material. Slides will be sent out so you can access resources in the future. Ft. lots of globe stress balls and some rad geographically-inspired t-shirts. Puns are guaranteed, their quality is not.