Daniel Siegel

"The best way to predict the future is to invent it." - Alan Kay

update (fall 2025) - I've dropped out of Tufts University to work on robotics full-time. I'm currently working on reliable robot motion and perception in everyday settings at Integral Mimetics

I'm a computer engineer and robotics researcher decentralized between Woodside, Palo Alto, and San Francisco, CA. Previously, I've worked on ML for low-power AI hardware at FemtoAI, designed quantum circuits at Katmai Computing, and built humanoid robots with Tangible.

I work at the intersection of electronic/PCB design, biomedical and assistive technology, robotics, prototyping and industrial design, and emergent tech. I'm focused on data acquisition for AI training, where the quality of input data directly determines model performance. I build precise collection systems to capture better training data and improve model outputs.

At Stanford, I contributed to the Biomechatronics Lab's self-steering cane project and designed adjustable manipulator fixtures for Dr. Mark Schnitzer's Lab. I also developed several projects with Tufts' IdeaLAB.

webphoto

Haptics
Logarithm Labs
Prosthetic Arm
Quantum Register
AR Headset
Blind Cane
Gym Optimizer
Prosthetic Prototypes
Sawtooth Soundsystem
3D Print Farm Tracker
Axial and Rotational Manipulators
Home 3D Print Farm + Lab

Academics

LaTeX Notes - Calculus II / Embedded Systems

Clubs & Societies - Tufts IEEE, Jumbo Juggling / Fire & Flow Club, Mitre eCTF (see above), Tufts Solar Vehicle Project (TSVP), Music Production Club, Society of Physics Students

Lab Affiliations

Tufts IDEALab (Prof. James Intriligator), Harvard Innovation Labs, Nolop FAST Facility, Stanford Pyramidal Lab (Prof. Mark Schnitzer), Stanford Biomechatronics Lab, De Anza Additive Manufacturing Lab

Awards

Personal Info