Alice Wu
Firmware at Amazon Lab126
6.3
Years of Experience
Education
stanford university, stanford university, the johns hopkins university, temple city high school
Companies
amazon, lyft, apple, google, stanford university, siemens, boston scientific, johns hopkins university center for leadership education, jhu department of mechanical engineering haptics lab, jj depuy orthopaedics inc jhu bme design team minimally invasive spinal decompression
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Email (Verified)
aliXXXXXXXXXXXXXom
Mobile Number
+16XXXXXXX70
Experience
2022 - Present
amazon
Embedded Software Engineer
Firmware for Amazon Astro and other consumer robotic products.
2019 - 2022
lyft
Senior Firmware Engineer
Firmware/embedded systems at Lyft Bikes and Scooters. Designed and delivered production firmware and factory testing/operations software for first/second generation e-bikes. Firmware lead for electronic lock systems and power-train/motor-controllers.
2016 - 2019
apple
Tech Lead - Haptic Engineering
Hardware engineering/product design/prototyping for next generation Taptic Engines and haptic experiences.
2014 - 2014
google
Integration Engineering Intern
About Nest Labs The creator of the world’s first Learning Thermostat, Nest Labs is focused on reducing home-energy consumption. The Nest Learning Thermostat learns human behaviors and preferences, automatically adjusting the temperature so you can stay comfortable while saving energy and money. Founded by former Apple SVP of the iPod division Tony Fadell and former iPod and iPhone lead engineer Matt Rogers, Nest enjoys bringing new life to previously ignored home products by applying the best of today’s technology and design. Based in Palo Alto, Calif., Nest Labs is privately funded by Kleiner Perkins Caufield & Byers, Google Ventures, Lightspeed Ventures, Shasta Ventures, Generation Investment Management and Intertrust. For more information, visit www.nest.com.
2011 - 2017
stanford university
Ph.D. Candidate
I worked in the Biomimetics and Dextrous Manipulation Lab under Professor Mark Cutkosky. My research focuses on dynamic tactile sensors and machine learning algorithms for robotic applications.
2011 - 2011
siemens
Intern
-Assisted in system validation and verification of next-generation bench-top automated urine chemistry analyzer with focus on hardware performance, user interface testing, and motor control implementation. -Developed conceptual designs for a novel, cost-effective method of obtaining patient samples in developing countries, work involved extensive IP search, market evaluation, and CAD creations using SolidWorks.
2010 - 2010
boston scientific
Intern, CRV - Research and Technology
-Developed signal processing algorithms and analysis methods in MATLAB to evaluated clinical data on novel minimally invasive sensor concept. -Project involved discrimination of sensor signals based on waveform analysis of morphological and time-dependent changes using clustering-based approach, statistical methods and fluoroscopic images. -Built Graphical User Interface to store and track patient information into new databases. -Extensive knowledge of cardiac electrophysiology, anatomy, and cardiac resynchronization therapy.
2009 - 2010
johns hopkins university center for leadership education
Course Assistant, Engineering Business & Management
-Managed a class of 35, assisted in coursework planning and grading, held weekly office hours.
2009 - 2011
jhu department of mechanical engineering haptics lab
Research Assistant
Developed a new touch feedback method and device intended to provide upper limb amputees with a sensation of the motion of their prosthetic arm. Work involved position control algorithms design, virtual environment/Graphical User Interfaces development in C/C++, data acquisition and analysis through PCMCIA interface, programming of motors with encoder feedback, knowledge of PCB design, conducted human subject studies.
2009 - 2010
jj depuy orthopaedics inc jhu bme design team minimally invasive spinal decompression
Team Leader
-Lead a multidisciplinary team of 10 members to design, develop, patent, and market a novel minimally invasive prosthesis to decompress intervertebral discs for pain relief and treatment of spinal stenosis. -Identified clinical and market need for device, designed and prototyped catheter balloon system for rapid biomaterial delivery, and conducted extensive verification and validation testing in cadaver models. Awards: -Best Team Leader, JHU Center for Bioengineering Innovation and Design, in recognition of excellence in leadership and teamwork (2010) -3rd Place, Princeton Entrepreneurs' Network (PEN) Business Plan Competition (2010) -Finalist, Yale Entrepreneurial Society Y2K Business Plan Competition (2010) -Semi-finalist, Stanford Entrepreneur's Challenge (2010) -Semi-finalist, UC Berkeley Business Plan Competition (2010)
Experience
36 Skills
biomedical engineering
biotechnology
c++
cad
commercialization
data analysis
Design
Embedded Software
embedded systems
Embedded Systems
engineering
firmware
Hardware
Integration
labview
latex
Manufacturing
matlab
medical devices
operations
pcb design
Product Design
product designer
Prototyping
r&d
research
robotics
Robotics
Senior Software Engineer
sensors
signal processing
Software Engineer
solidworks
Systems Design
test
testing
Education
2013 - 2017
stanford university
Doctor of Philosophy (Ph.D.)
Mechanical Engineering - Robotics
2011 - 2013
stanford university
M.S.
Mechanical Engineering - Mechatronics/Robotics
2007 - 2011
the johns hopkins university
B.S.
Biomedical Engineering - Sensors & Instrumentation
2003 - 2007
temple city high school
