POSTPONED: Research Careers Outside Academia
Due to scheduling conflicts, we need to postpone this event. We apologize for any inconvenience, and look forward to sharing the new date once it is confirmed.
This is a panel event where students will hear from professionals who have applied their research training to careers outside of academia. Panelists will include Dinah Sah, PhD, Biotech Executive, Erin Doyle, Research Analyst at the Urban Institute, Kim Cárdenas, PhD, Senior Research Analyst at HIT Strategies, and Adam Ferrari, PhD, Biotech Equity Research Associate at J.P. Morgan. Learn about their academic and professional journeys and how they built careers in research outside traditional academic settings, spanning biotech, policy research, social science, and finance.
Research Drop-in Hours
Have questions about research? CURF Research Peer Advisors (RPAs) hosting weekly advising hours in the CURF office, College Hall G08/09. Drop in anytime to talk to fellow undergraduate students about their experiences doing research at Penn and get some tips on how to find a mentor, where to find funding, and much more.
On Feb. 26, stop by to chat with Sage Leland (Bioengineering) and Shikhar Gupta (Biochemistry/Chemistry). RPAs can advise students interested in any academic discipline.
Cold-Emailing Workshop
Join Research Peer Advisors (RPAs) for a Cold-Emailing Workshop designed for students looking to get started in research, especially those hoping to secure a summer research position. Learn how to identify labs, reach out to professors, and craft compelling cold emails. We’ll cover how to position yourself even with no prior experience, what faculty look for in summer students, and how to follow up effectively. Whether you’re unsure where to begin or just need guidance on writing that first message, this session will give you the tools to take concrete steps toward landing a research opportunity. Perfect for students exploring research for the very first time. No experience needed.
RPA Data Science Workshop: R
Join the CURF RPAs for a series of data science workshops to learn essential coding skills for modeling, data analysis, and visualization. Whether you’re new to programming or looking to refine your skills, these workshops will introduce key tools in scientific research. No prior experience is required - attend all sessions or choose the ones most relevant to your research area of interest! This session will focus on R, a common statistical analysis package used in the natural and social sciences.
RPA Data Science Workshop: Python
Join the CURF RPAs for a series of data science workshops to learn essential coding skills for modeling, data analysis, and visualization. Whether you’re new to programming or looking to refine your skills, these workshops will introduce key tools in scientific research. No prior experience is required - attend all sessions or choose the ones most relevant to your research area of interest! This session will focus on Python, a language commonly used in machine learning, AI, and data analysis.
Research Drop-in Hours
Have questions about research? CURF Research Peer Advisors (RPAs) hosting weekly advising hours in the CURF office, College Hall G08/09. Drop in anytime to talk to fellow undergraduate students about their experiences doing research at Penn and get some tips on how to find a mentor, where to find funding, and much more.
On March 19, stop by to chat with Charissa Howard (English) and Emily Zhang (Bioengineering/Systems Science and Engineering). RPAs can advise students interested in any academic discipline.
RPA Data Science Workshop: MATLAB
Join the CURF RPAs for a series of data science workshops to learn essential coding skills for modeling, data analysis, and visualization. Whether you’re new to programming or looking to refine your skills, these workshops will introduce key tools in scientific research. No prior experience is required - attend all sessions or choose the ones most relevant to your research area of interest! This session will focus on MATLAB, a numeric computing platform often used in computational engineering and also other fields such as neuroscience.