Kaiann
Fu
5G Signal Processing Engineering Manager at Intel
"Building Effective Mentorship Programs"
"Building Effective Mentorship Programs"
Thu June 10 - 6:30 PM EDT/New York (See in local time)
Add to Calendar
05//2025 6:30 PM
05//2025 06:50 PM
America/New_York
#WTGC2025
"Building Effective Mentorship Programs"
#WTGC2025
"Building Effective Mentorship Programs"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Building Effective Mentorship Programs"
"Building Effective Mentorship Programs"
Don’t miss out and join visionaries, innovators, and thought leaders from all over the world at the Women in Tech Global Conference.
Vote by Sharing
Unite 100 000 Women in Tech to Drive Change with Purpose and Impact.
Do you want to see this session? Help increase the sharing count and the session visibility. Sessions with +10 votes will be available to career ticket holders.
Please note that it might take some time until your share & vote is reflected.
Session: Building Effective Mentorship Programs
This session presents strategies for building effective mentorship programs that can be applied at multiple levels, from mentoring colleagues at the team level, to building programs across the organization, to inspiring the next generation of engineers through outreach. Mentoring programs are valuable tools for promoting inclusion and career development, particularly for women and other underrepresented groups in STEM fields. Leveraging learnings from existing mentoring initiatives at Intel, we will highlight key elements important for creating productive and fulfilling mentorship programs with high success rates.Key Takeaways
- Key components of a successful mentorship program
- Guidance for mentors and mentees on forming effective partnerships
- Tips for recruiting mentors and for matching mentors to mentees
Bio
Kaiann Fu is a 5G Signal Processing Engineering Manager in Intel’s Next Generation & Standards (NGS) Group where her team develops 5G modem physical-layer signal-processing algorithms for hardware implementation. She leads the NGS Women’s Initiative to support NGS women career growth through career development sessions, networking, mentoring, technical talks, etc. Prior to Intel, she developed signal-processing algorithms at Northrop Grumman for intelligence, surveillance, and reconnaissance programs. Kaiann holds Ph.D., M.S.E, and B.S.E. degrees in Electrical Engineering from the University of Michigan. In her free time, she enjoys hiking, watching wildlife, the symphony, and college football.