Nanotechnology and Health Care Collider Sprint
State of the art sensors and analytics for better human health
Monitoring your body to prevent illness and disease
Can we use nanotechnology to monitor human health using state of the art sensors and data analytics technology while navigating through complex markets and healthcare politics in USA?
In this class you will divide into teams and explore how to commercialize the sensor technology given to you in this class. You will choose a target market and explore how to establish a company. You will think through your product offering, differentiation, partnership, pricing and distribution. You will create a product design, go to market approach and defend your strategy.
This is not an academic class, you are expected to actually work as a team as if you are on a limited seed fund and you have a few months to establish traction and results. You are competing with other teams in the class and the winning team will be chosen based on the most amount of real market progress by end of the semester.
Info Session
Monday, January 29, 2018
6 pm @ SCET
Sign Up Deadline
Sunday, February 4, 2018
Kick-Off
Monday, February 5, 2018.
COLLIDER CHALLENGE
“Nanotechnology for Healthcare” seeks to explore challenges in commercialization of nanotechnology-based human health monitoring systems. Aspects of these challenges include testing the sensors for reliability and reproducibility, performing simulations, developing sensitive and low-noise electronics, making the analytical software more powerful with AI and Machine learning, performing market studies and researching relevant government regulations and policies.
OUTCOMES
During this challenge, students will have an opportunity to learn to handle complex, multidisciplinary puzzles of the modern world. They will be divided in testing, simulation, hardware and electronics, data analytics software, marketing and policy teams. Testing teams will engage in using the state of the art nanotechnology-based sensors that have already been developed and producing test reports, simulation teams will perform comsol simulations for the sensors, hardware and electronics teams will implement improvements in the already developed electronics for data collection, data analytics software teams will implement AI and machine learning in already existing analytical software, and marketing and policy teams will build on an already existing market report, adding policy challenges for commercialization of the technology. This unique opportunity will allow you to exercise your expertise in your specific area while interacting and learning about the comprehensive nature of entrepreneurship and technology commercialization.
ADVISORS
WAQAS KHALID - Dr. Khalid is an expert in nanotechnology and MEMS. He has developed novel carbon nanotube-based sensors for multi-analyte sensing of biomolecules and with a team built a complete platform technology including chip holders, electronics, and analytical software. He works closely with NASA Ames, Lawrence Berkeley National Labs, UC Davis Medical Center and Los Alamos National Labs. Dr. Khalid also founded Jadoo Technologies Inc.
MEHDI MAGHSOODNIA - A seasoned Valley entrepreneur and leader, Mehdi has over 20 years of experience building great teams and operating both startups and public companies. Before BookRenter, Mehdi was SVP of products and services at CafePress where he joined the team in the early days and grew the company to over $130M in revenues. Prior to CafePress, Mehdi was SVP of products at Intellisync where they had 90% ownership of the mobile sync market before Nokia bought the company for $450M. Mehdi held a number of executive positions at other Valley companies and currently sits on the board of FaceTime, Pbworks and Fotomoto. Mehdi completed undergraduate studies at Berkeley and graduate studies in computer science at Stanford.
ELIGIBILITY
Graduate and undergraduate students (Juniors & Seniors) in data science, computer science, statistics, IEOR, math, economics, marketing, policy and related studies are encouraged to apply. Students who have taken EECS 141 and 150 and students with AI/Machine Learning experience are preferred and encouraged to apply for hardware and software teams. This is a team project and teams will be pre-formed by the project leaders from the pool of eligible students.
KEY DATES
This Class will meet on Mondays from 6:30 pm to 8:00 pm at SCET.
Info Session: January 29, 2018 - 6:30 pm at SCET
Kick-Off: February 5, 2018
SIGN UP
UC Berkeley can enroll for the course at anytime. Information below.
Students can take this Collider for 2 units credit:
INDENG 190C Advanced Topics: Innovation Collider
Class # 42606
Academic Units: 2
Pass/No Pass Only
Note: If you registered for INDENG 190C and are not eligible or cannot participate in the project, you will be required to drop the course.
For additional questions, please email scet.collider@berkeley.edu