Name: Career panel and networking
Start: 2026-04-15T18:00:00-04:00
End: 2026-04-15T20:00:00-04:00
Location: Parkway Branch of the Free Library of Philadelphia

Join us for a career panel and networking with established professionals who use R statistical programming language for data analysis in their career. The event is open to all members of the public (not limited to R-Ladies Philly members).

Shannon

Jenny L.

R-Ladies Philly

R-Ladies

The R User Group program supports us with funds! Thanks!

R consortium

RStudio develops free and open tools for R! Thanks!

RStudio

Independence Public Media Philadelphia

Technology

Open Source

Data Management

Big Data

Data Analytics

Predictive Analytics

Data Mining

Programming in R

Women Programmers

Data Visualization

R Project for Statistical Computing

Data Science

Biostatistics

**Qiqi Yang (she/her)**
Qiqi is a post-doctoral research fellow at the Department of Pathobiology in the School of Veterinary Medicine, University of Pennsylvania. She’s broadly interested in researching how ecological, human behavioral, and societal processes shape the ecological-evolutionary dynamics of infectious diseases, and how to design effective interventions accordingly. Her research is largely motivated by trying to inform decision-making in public health, conservation and agriculture. She's from Wenzhou, China. She was trained in Geographical Information Science in her undergraduate, with years of volunteering experience in environmental NGOs. She holds a PhD degree in Ecology and Evolutionary Biology from Princeton University. During her PhD, she also served as Professional Development Associate with Princeton graduate school to develop career development programs and events for international graduate students, and for non-academic career paths. She is also an activist and has led advocacy work for environmental justice, women and queer community, and (US) international scholar community.

**Jajwalya "Jaj" Karajgikar (she/her)**
Jaj is the Applied Data Science Librarian for the UPenn community. She is enthusiastic in sharing expertise on topics like data storytelling, natural language processing, computational social sciences, data visualization, network analysis, and knowledge mining. Jaj regularly collaborates with researchers from diverse disciplines who seek to incorporate these advanced techniques into their work. She is the founder of the AI Literacy Interest Group, the co-convener of the AI Literacy Working Group for Penn Libraries staff, and regularly hosts Data skill-building workshops on R and Python at UPenn, in addition to partnering on digital scholarship initiatives and working with campus stakeholders to establish foundational programming in research computing, digital literacy, and data ethics. She actively contributes to professional committees and has published several works focusing on challenges in the information sciences and digital humanities fields. She has also mentored and supported early career international scholars in Professional Development opportunities and Conference Organizing as the Deputy Secretary for the Association for Computers and the Humanities. 
Jaj's research interests span multilingual handwritten manuscript text recognition, computer vision applications in South Asian art and culture, games-based pedagogical learning, media studies, and critical making. She holds a Master of Science in Computational Sciences from George Mason University and is currently a Post-Baccalaureate student at the University of Pennsylvania.

**Tesla DuBois (she/her)**
Tesla DuBois is a Senior Clinical Data Scientist at the Sidney Kimmel Comprehensive Cancer Center at Jefferson. She supports clinical trials and service delivery through the creation of dynamic dashboards and data-driven insights that inform cancer center leadership. She is also a doctoral candidate in medical geography at Temple University. Her dissertation demonstrates how an applied medical geography approach, strengthened by an urban sustainability lens, enhances every stage of the cancer care continuum. Her work bridges operational analytics and geographic theory to advance more equitable cancer prevention and care.

Qiqi Yang & Jajwalya Karajgikar & Tesla Dubois