About Me

Hi! I am a PhD student in Computer Science and Engineering at UC San Diego, advised by Dr. Margaret Roberts and Dr. Berk Ustun. My research is in fairness and machine learning. I am interested in understanding complex system dynamics - how we (and our data) interact and coevolve with ML models over time, interact with and understand the information on the internet, and connect to each other.

Skills:
Languages:​ Python, Java, R, D3, Javascript, C, HTML/CSS, Unix, Matlab
Data Platforms:​ Amazon Web Services, Spark
ML Tools:​ Keras, TensorFlow, Scikit-learn
Applications:​ Final Cut, LaTeX, Adobe Photoshop, Lightroom, Solidworks, Arduino
Spoken Languages:​ Mandarin-Chinese (Intermediate-High on ACTFL/ETS proficiency scale)

Research Areas: Machine Learning, Optimization, Human-Centered Design, Algorithmic Fairness, Interpretability, Accountability, Reliability

Publications

ConsHMM Atlas: conservation state annotations for major genomes and human genetic variation. Adriana Arneson, Brooke Felsheim, Jennifer Chien, Jason Ernst
DOI: 10.1101/2020.03.01.955443

Professional Projects

Awards and Honors

Graduate Fellowships for STEM Diversity (GFSD) Fellow (previously National Physical Science Consortium) (2021-2027)

Doctoral Award for Excellence in Service and Leadership (CSE End of Year Awards) (June 2021)

UCSD School of Global Policy & Strategy Science Policy Fellow (2020-2021)

UCSD Jacobs School of Engineering Fellowship (2019-2021)

Honorable Mention in the 2021 National Science Foundation Graduate Research Fellowship Competition (April 2021)

Team selected to innovate in the CFPB Virtual Tech Sprint on Adverse Action Notices (Oct 5-9, 2020)

#LWTSUMMIT Scholarship (February 2020)

2020 CRA-WP Grad Cohort for Women Workshop Scholarship (November 2020, attended May 2021)

Honorable Mention in the 2019 National Science Foundation Graduate Research Fellowship Competition (April 2019)

Rewriting the Code 2019 Fellow (2019-2020)

Best Visualization and Analysis (Best In Show) – 2018 BOW Datafest (April 2018)

Best Presentation Award – Intern Research Review Novartis Institute for BioMedical Research (August 2017)

Leadership

I am also the President of UCSD Graduate Women in Computing (GradWIC). I organize and lead mentorship programs, professional development workshops, movie nights, beach bonfires, graduate school application workshops, and sponsor students to attend Grace Hopper and ACM Richard Tapia Celebration of Diversity in Computing. I strive to create an innovative, informative, and inclusive environment; focusing primarily on those who identify as women and underrepresented minorities in computing fields.

I am currently a mentor in three UCSD-based mentorship programs:

GradPal: Kyeongyeon Lee and Langley Barth (2020-2021)

GradWIC: Feng Hou and Alisha Ukani

Jacobs Undergraduate Mentoring Program (JUMP): Erin Griggs (SWE President), Ava(Diego) Real, and Dadian Zhu

Unofficially to some members of our undergraduate sister organization, WIC: Priyal Suneja

Previous Leadership Roles

WIC GBM #2 - Explore Computer Science Panelist (May 2021)

CSE DEI Committee Celebration of Diversity Mini-Series: Fitting in vs. Belonging Workshop Leader

Jacobs Undergraduate Mentoring Program (JUMP) Grad School Panel & Graduate Research Opportunities Panelist (April 2021)

UCSD CSE Visit Day 2021 DEI Panelist and Game Night (hosted by GradWIC) Event Organizer (March 2021)

UCSD Women's Center STEMinist Panel: Visualizing a More Equitable Future for Womxn in STEM (March 2021)

Society of Women Engineers: Envision 2021 Workshop Volunteer (February 2021)

GradWIC x WIC Graduate School Application Workshop Series (7 Workshops) (Fall 2020)

UCSD Women's Center Virtual STEM Student Organization Fair (December 2020)

UCSD CS PhD Information Session Moderator (November 2020)

UCSD Jacobs Graduate Student Council Incoming Graduate Student Information Session Panelist (October 2020)

UCSD CSE MS Orientation Graduate Student Moderator and Panelist (September 2020)

UCSD CSE PhD Orientation Graduate Student Moderator and Panelist (September 2020)

GradWIC How to Network Event Moderator (August 2020)

Bruins In Genomics (BIG) Summer Alumni Panelist (July 2020)

Discussion Facilitator at UCSD GSA 2nd Annual Mental Health Matters Symposium (May 2020)

Founder and Chair of Wellesley ACM-W Student Chapter (2018-2019)

Good Reads

Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor: Extremely well researched ethnographic-style deep dive into different facets of automation and ML classifiers and how they affect lives of the lowest socioeconomic classes and works its ways up. For instance, prediction tasks for child protective services are trained on public data available, but the public data is majority composed of those that use public services. Higher socioeconomic status families can afford to use private services and are thus missing from the dataset. Thus, these ML predictors are often trained on unrepresentative and unreliable datasets that disproportionally cause harm to those affected by it.

Data Feminism: Extremely well written. Delves into the truly revolutionary perspective shift we need to take in order to approach equity in data and data science. Ideas such as the difference between data ethics (concepts that secure power because they locate the source of the problem in individuals or technical systems) to data justice (concepts that challenge power because they acknowledge structural power differentials and work toward dismantling them) (pg.60).

How to be Anti-Racist: Need I say more? This book is on the NYtimes best seller list. Read as a part of the CSE DEI committee book club and there have been some truly mind blowing revelations surrounding assimilation and dominant culture -- how to we accept racism in our daily lives, can we be racist against our own races (or other identities), what does it mean to act in an anti-racist manner and how to we continue to audit ourselves? There are some aspects of intersectionality that could be further explored and developed such as the chapters on gender and sexuality, they felt a bit superficial.

Weapons of Math Destruction: Introduction to algorithms and data usage manipulated at a large scale in the real world. Deconstructs a lot of CS jargon to be approachable to someone without a CS background.

Why Are All The Black Kids Sitting Together In The Cafeteria?: Amazing read, super approachable and doesn't get boring or overwhelming. The book emphasizes that we need to have race discussions in our daily lives and throughout our education. Stereotype threat is real. I learned a lot about my privilege as an Asian person and the privilege of being a model minority. Favorite image: Racism and systemic oppression are just like the moving walkways at the airport, it speeds some people along, even if you are doing nothing you still get moved forward. Only those actively moving against it can move in the opposite direction. Also resistance and change comes in many forms, both in conversations with your family, protests, and donating. Read as a part of the UCSD CSE Diversity Equity and Inclusion Committee Book Club.

Personal Projects

In my spare time, I love creating, cooking, and bettering myself.

Connect With Me

Personal

jjchien "at" eng "dot" ucsd "dot" edu
Github, Twitter, LinkedIn

UCSD GradWIC

cse-gradwic-officers "at" eng "dot" ucsd "dot" edu
Website, Facebook, Instagram