1st lesson free
The profile of Aadirupa and their contact details have been verified by our experts
Aadirupa
- Rate TSh 78,697
- Response 2h
-
Students1
Number of students Aadirupa has accompanied since arriving at Superprof
Number of students Aadirupa has accompanied since arriving at Superprof
TSh 78,697/hr
Contact
1st lesson free
- Mathematics
- Algebra
- Arithmetic
- Statistics
From Confused to Confident — Basic Math Tutoring to master ML/AI basics by a PhD Professor
- Mathematics
- Algebra
- Arithmetic
- Statistics
Lesson location
About Aadirupa
Aadirupa Saha has been an Assistant Professor in the Department of Computer Science at the University of Illinois Chicago (UIC) since Fall 2025. She is a member of the UIC CS Theory group, as well as IDEAL Institute. Prior to this, she was a Research Scientist at Apple MLR, working on Machine Learning theory. She completed her postdoctoral research at Microsoft Research (NYC) and earned her PhD from the Indian Institute of Science (IISc), Bangalore.
Saha's primary research focuses on AI alignment through Reinforcement Learning with Human Feedback (RLHF), with applications in language models, assistive robotics, autonomous systems, and personalized AI. At a high level, her work aims to develop robust and scalable AI models for designing prediction systems under uncertain and partial feedback.
[Optional] Specifically, Saha is deeply motivated by the tremendous potential of AI to democratize learning—reshaping our current education system into a truly adaptive, accessible, and personalized experience for every learner! Driven by this transformative power of generative AI and language models, she envisions building the foundations for equitable, intelligent education systems that turn this vision into reality. Her research focuses on developing futuristic educational models by leveraging her expertise in AI alignment with human feedback, alongside tools from Machine Learning (Online Learning, Bandits, and RL theory), Optimization, Federated Learning, Differential Privacy, and Mechanism Design.
[Optional] Saha has been a part of several organizational efforts and tutorials over the last few years. Notably, she serves as the communication chair for RLC, 2026. Besides her community services include a keynote talk at DA2PL Conference, [NeurIPS, 2023] tutorial on Preference Learning, [UAI, 2023] tutorial on Federated Optimization, two tutorials at [ECML, 2022], [ACML, 2021], three ICML workshops [ICML, 2024], [ICML, 2023], [ICML, 2022], an IDEAL special program workshop, and two TTIC workshops [TTIC, 2023], [TTIC, 2022]. In addition, Saha has also served in several panel discussions and senior reviewing committees for major ML conferences.
See more
About the lesson
- Primary school
- Ordinary Level
- Form 5
- +8
levels :
Primary school
Ordinary Level
Form 5
Form 6
Ordinary Diploma
Tertiary Education
Adult Education
Master’s Degree
PhD / Doctorate
MBA
Nursery
- English
All languages in which the lesson is available :
English
TEACHING METHOD & TECHNIQUES
I believe math is not about memorizing formulas — it is about building intuition. My teaching approach is rooted in how I was trained as a researcher: understand the why before the how.
My core techniques: Concept-first teaching — I never start with formulas, I start with the idea behind them. Visual reasoning — I use diagrams, graphs, and geometric intuition to make abstract concepts tangible. Socratic questioning — I ask guiding questions so you arrive at the answer yourself, making it stick longer. Error analysis — I turn your mistakes into the most powerful learning moments. Real-world anchoring — I connect every topic to real applications such as statistics in data science, calculus in physics, and probability in AI.
A TYPICAL LESSON
First 5 minutes: I ask 2-3 quick questions to find exactly where your understanding breaks down. No wasted time.
Next 15 minutes: I re-explain the concept from scratch, the right way. Clean, simple, no jargon.
Next 20 minutes: We solve problems together. I do not solve for you — I guide you step by step until you can do it alone.
Last 10 minutes: You solve a problem independently while I watch. This is where real learning gets confirmed.
End of session: I tell you exactly what to practice before next session and what to expect next.
WHAT SETS ME APART
I am an Assistant Professor of Computer Science at the University of Illinois Chicago (UIC). I hold a PhD in Computer Science from the Indian Institute of Science (IISc) Bangalore, one of Asia's top research institutions. I was previously a Research Scientist at Apple Machine Learning Research and a Postdoc at Microsoft Research New York.
I have taught and mentored students at every level — undergraduate, masters, and PhD. My entire research career is built on mathematical rigor — probability, optimization, statistics, and linear algebra. This is my native language. I do not just teach math. I teach you how to think mathematically.
WHO THESE LESSONS ARE FOR
These lessons are perfect for you if you are a high school student struggling with algebra, trigonometry, or pre-calculus. A college freshman or sophomore taking Calculus I, II, or III. An engineering, science, or computer science student whose math foundations feel shaky. A data science or AI student needing to strengthen probability, statistics, or linear algebra. A graduate student brushing up on mathematical foundations. Someone self-studying math for a career switch into data science or AI.
Subjects I cover: Arithmetic, Pre-Algebra, Algebra I and II, Trigonometry, Pre-Calculus, Calculus I through III, Probability and Statistics, Linear Algebra, Discrete Mathematics, and Mathematical Foundations of ML and AI.
I am not the right fit if you want someone to do your homework for you, or if you are looking for quick answers without understanding. I am here for students who genuinely want to learn.
BIO
I am an Assistant Professor at the University of Illinois Chicago and a PhD graduate of IISc Bangalore, with prior experience as a Research Scientist at Apple and Postdoc at Microsoft Research. I specialize in making advanced math — calculus, statistics, probability, and linear algebra — clear, intuitive, and genuinely understandable for every type of learner. If you want to stop memorizing and start truly understanding math, I am the tutor for you.
See more
Rates
Rate
- TSh 78,697
Pack prices
- 5h: TSh 390
- 10h: TSh 780
online
- TSh78,697/h
free lessons
The first free lesson with Aadirupa will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
Aadirupa's Video
Similar Mathematics teachers in Chicago
MBIKIYE
& Online
- TSh 15,000/hr
- 1st lesson free
Sarah
Dar es Salaam & Online
- TSh 110,000/hr
- 1st lesson free
Husna
Dar es Salaam & Online
- TSh 35,000/hr
- 1st lesson free
Alireza
Richmond Hill, Canada & Online
- TSh 90,747/hr
- 1st lesson free
Poonam
London, United Kingdom & Online
- TSh 348,142/hr
Riccardo
Roma, Italy & Online
- TSh 75,237/hr
- 1st lesson free
Chris
Paris 16e, France & Online
- TSh 352,111/hr
- 1st lesson free
Markus
München, Germany & Online
- TSh 135,427/hr
- 1st lesson free
Hamid
Vancouver, Canada & Online
- TSh 144,454/hr
- 1st lesson free
Houssem
Paris 1er, France & Online
- TSh 180,570/hr
- 1st lesson free
Mounir
Paris 8e, France & Online
- TSh 361,140/hr
- 1st lesson free
Ptashanna
Lyon, France & Online
- TSh 300,950/hr
- 1st lesson free
Romain
Paris 5e, France & Online
- TSh 165,522/hr
- 1st lesson free
Gianni
Ariano Irpino, Italy & Online
- TSh 69,218/hr
- 1st lesson free
Gaël
Paris, France & Online
- TSh 105,332/hr
- 1st lesson free
Gregor
Heidelberg, Germany & Online
- TSh 177,560/hr
- 1st lesson free
Paolo
London, United Kingdom & Online
- TSh 121,850/hr
- 1st lesson free
Samuel
Lisboa, Portugal & Online
- TSh 81,256/hr
- 1st lesson free
Nicolas
Paris 6e, France & Online
- TSh 177,560/hr
- 1st lesson free
Thomas
München, Germany & Online
- TSh 270,855/hr
- 1st lesson free
-
See Mathematics tutors
