Speaker Series

Register Now for the DRIPBL Speaker Series 2025–2026!

Typically 3rd Saturday of the month at 10 AM Pacific Time

Join us for an inspiring year of expert-led talks designed to empower students, families, and educators through cutting-edge insights in research, college advising, mentorship, and innovation.

What to Expect:

 Dynamic speakers from top institutions and industries
 Actionable advice on college admissions, research strategy, and student development
 Opportunities to connect with mentors and explore DRIPBL’s unique programs

Registration Includes:

 Access to all live speaker sessions
  Recordings of each talk
  Special offers on DRIPBL programs and mentoring services

Upcoming Events

  • September 7th, Sunday: College Advising - The College Workshop (CWS) with Eden Feuer, CWS
  • September 20th: Saturday: Our College Application Successes and How We Adjusted to the College Experience Student Mentors with Ben Jackson, Nevan Hanford, Aayush Rastogi, Xieshi Zhang, and Srikanya Garuda, Johns Hopkins University; UC Berkeley; Arizona state university; Tulane University
  • October 18th: Saturday: Pollinating Your Future: Data Science Skills with Bee Data & College Insights with Derek Sollberger, Princeton
  • November 15th: Saturday: Biochemistry in Academia with Dean Jackie Trischman, CSUSM
  • December 20th: Saturday: Confidence in Presenting Research
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Data Science and Data Analytics for Research Project

Dr. Calvin Williamson

Professor, Science and Math, State University of New York & Fashion Institute of Technology

Prof. Rajasekhar Vangapaty

Academic Advisor, Fashion Institute of Technology
State University of New York
Founding Member and President of Empowerment Skills International

Schedule: 2 days per week (Tuesday & Thursday)

 

What you’ll learn

Regression

  • Regression
  • Simple Regression
  • Multiple Regression
  • Applications
  • Conjoint Analysis

Introduction to Python

  • Google Colab Notebook
  • Variables, DataTypes
  • Lists, Strings
  • Functions

Machine Learning

  • Classification, Accuracy
  • Training, Testing
  • Decision Trees
  • Pandas, Dataframes
Register

Understanding AI and it’s proper use

Dr. Calvin Williamson

Professor, Science and Math, State University of New York & Fashion Institute of Technology

Prof. Rajasekhar Vangapaty

Academic Advisor, Fashion Institute of Technology
State University of New York
Founding Member and President of Empowerment Skills International

Schedule: 2 days per week (Monday & Wednesday)

 

What you’ll learn

Introduction to Python for Artificial Intelligence

  • Google Colab Notebook
  • Using LLM as Coding Assistant
  • Calculations
  • Variables
  • DataTypes
  • Lists
  • Dictionaries
  • Functions
  • Dataframes
  • f-Strings

Introduction to Large Language Models (LLMs)

  • LLM Examples (GPT, Claude, Gemini)
  • Completions, APIs
  • Prompting
  • Prompt Chaining
  • Roles and Personas
  • Chain of thought
  • Few-shot and zero-shot Learning
Register