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Cornell & UC Berkeley PhD | AI, Physics, Math & Computation Consultant
Deepika G.

5.0 (96 ratings)

591 hours tutoring

Your first lesson is backed by our Good Fit Guarantee
Hourly Rate: $100
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Response time: 4 hours

About Deepika

Bio

Want to actually understand the physics — not just pass the test? Working through grad-level math, optics, computation, or AI/ML and need someone who's been there?

I'm a Cornell Physics graduate and PhD researcher in Electrical and Computer Engineering at UC Berkeley, working at the intersection of computational microscopy, Fourier optics, and machine learning. I have 9 years of teaching experience across high school, undergraduate, and graduate levels, and I genuinely care about building...

Want to actually understand the physics — not just pass the test? Working through grad-level math, optics, computation, or AI/ML and need someone who's been there?

I'm a Cornell Physics graduate and PhD researcher in Electrical and Computer Engineering at UC Berkeley, working at the intersection of computational microscopy, Fourier optics, and machine learning. I have 9 years of teaching experience across high school, undergraduate, and graduate levels, and I genuinely care about building deep understanding — not just getting through the problem set.

[1] PHYSICS — Classical mechanics, E&M, optics, thermodynamics, modern physics, and quantum. I specialize in the conceptual depth that makes AP and university physics feel coherent rather than a pile of disconnected formulas. Strong track record with AP students going from struggling to acing exams.
[2] MATHEMATICS — Calculus (single and multivariable), linear algebra, probability, statistics, real analysis, optimization, and discrete math. From exam prep to the mathematical fluency needed for research or ML.
[3] COMPUTATION, AI & DATA SCIENCE — Python, MATLAB, machine learning, deep learning, signal processing, and scientific computing. My research lives where physics, math, and computation meet — computational optics, image reconstruction, and learned models for physical systems. I can help you understand why your model behaves the way it does, not just how to run it.
[4] COMPUTATIONAL NEUROSCIENCE & BIOPHYSICS — Neural data analysis, biophysical modeling, and statistical inference for neuroscience. I bring both the physics and computational sides, which is genuinely rare.
[5] ADMISSIONS COUNSELING — Undergrad and PhD/graduate applications, STEM personal statements, research narrative, and school selection strategy. Most strong STEM applicants lose ground not because their research isn't good, but because they don't know how to write about it for a non-specialist reader. That's a skill I can teach.

Message me to arrange a free 15-minute consultation.

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Education

Cornell University
Physics
UC Berkeley, Electrical and Computer Engineering
PhD
  • Licensed teacher

Policies

  • Hourly Rate: $100
  • Rate details: Discount for booking multiple sessions in advance
  • Lesson cancellation: 12 hours notice required

  • Background check passed on 8/1/2022

  • Your first lesson is backed by our Good Fit Guarantee

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Approved Subjects

ACT Math

ACT Math

My formal training in physics and mathematics at Cornell and UC Berkeley gives me deep mastery of every topic on the ACT Math section. I have 9 years of experience tutoring students in standardized math and science tests and specialize in quickly diagnosing each student's specific gaps and addressing them efficiently. I combine targeted content review with ACT-specific strategy to maximize score gains in minimal time.
Algebra 1

Algebra 1

Algebra is the gateway to all of mathematics, and I have spent 9 years helping students build a rock-solid foundation in it. My Cornell Physics and UC Berkeley ECE training gives me a deep understanding of algebraic structure that allows me to explain concepts with unusual clarity and precision. I won the best teaching assistant award four times and have consistently brought students from Ds and Fs to As in algebra courses.
Algebra 2

Algebra 2

Algebra 2 bridges foundational algebra and precalculus, and my Cornell Physics and UC Berkeley ECE background gives me complete command of every topic it covers — functions, polynomials, exponentials, logarithms, and complex numbers. I have 9 years of experience teaching mathematics at the high school and college level and excel at helping students who have struggled with Algebra 1 build the fluency they need to succeed in Algebra 2 and beyond.
Astronomy

Astronomy

My Cornell Physics degree included formal coursework in astrophysics and observational astronomy, grounded in the same classical and modern physics that governs celestial systems. My research in optical imaging at UC Berkeley and HHMI gives me applied expertise in the telescope optics, diffraction, and light-matter interaction that underpin modern astronomy. I have 9 years of teaching physics and can cover introductory through advanced astronomy with strong mathematical and conceptual depth.
Biostatistics

Biostatistics

My PhD research at UC Berkeley and HHMI centers on quantitative analysis of biological imaging data, requiring daily use of statistical modeling, noise estimation, and signal inference. I hold a Physics degree from Cornell — a rigorous quantitative training — and have taught probability and statistics at the college level for 9 years. I have brought students from failing grades to As in statistics-heavy courses and can cover hypothesis testing, regression, experimental design, and Bayesian methods with equal confidence.
Calculus

Calculus

Calculus is the mathematical language of my entire academic and research career — from classical mechanics at Cornell to signal processing and Fourier analysis in my ECE PhD at UC Berkeley. I have taught calculus at the college level for 9 years and won the best teaching assistant award four times, with students consistently moving from failing grades to As. I can cover single and multivariable calculus, vector calculus, and the transition to proof-based analysis with equal depth.
College Counseling

College Counseling

My students have gained admission to Stanford, Columbia, UChicago, Johns Hopkins, Tufts, and the University of Washington, among many others. My own path from Cornell to UC Berkeley's PhD program gives me firsthand insight into what elite institutions — undergraduate and graduate — look for. I guide students through every stage: school selection, essay development, activity framing, and interview prep, with a focus on authentic, specific storytelling that stands out.
Computer Science

Computer Science

My PhD in Electrical and Computer Engineering at UC Berkeley includes formal training in algorithms, computational methods, and software systems, applied daily in my research in computational imaging. I have 9 years of teaching computer science and data science at the high school and college level and have supervised graduate-level computational projects at Neuromatch. I can help students with introductory programming through data structures, algorithms, and applied scientific computing.
Data Analysis

Data Analysis

Data analysis is the core of my research at UC Berkeley and HHMI, where I process and interpret large-scale imaging datasets using Python, signal processing, and statistical methods. My Cornell Physics and UC Berkeley ECE training provides rigorous grounding in the mathematics underlying modern data analysis. I have supervised graduate-level computational projects at Neuromatch, an internationally competitive deep learning summer school, and have taught data science at the college level for 9 years.
Data Science

Data Science

Data science is central to my active research at UC Berkeley and HHMI, where I build and apply computational pipelines for large-scale biological data analysis. I am an instructor at Neuromatch, an internationally competitive deep learning summer school, and have 9 years of teaching data science and statistics at the college level. I can cover the full data science stack — Python, statistics, machine learning, visualization, and scientific computing — with both theoretical depth and practical fluency.
Discrete Math

Discrete Math

Discrete mathematics — combinatorics, graph theory, proof-writing, and logic — is foundational to my ECE PhD coursework at UC Berkeley and to the algorithmic thinking underlying my research. My Cornell Physics degree demanded rigorous proof-based reasoning from the outset. I have 9 years teaching college-level mathematics and specialize in helping students make the leap from computational to proof-based thinking, which is where most students struggle in discrete math.
Econometrics

Econometrics

Econometrics is fundamentally applied statistics, and my formal training in probability and statistical inference at Cornell and UC Berkeley gives me a strong mathematical foundation in exactly this. I have taught probability and statistics at the college level for 9 years and regularly apply regression, estimation, and quantitative modeling in my own research. I can cover OLS, hypothesis testing, panel data, instrumental variables, and time series with rigor and clarity.
Electrical Engineering

Electrical Engineering

I am a PhD student in Electrical and Computer Engineering at UC Berkeley, where my research specializes in signal processing, Fourier optics, and computational imaging — core EE domains. My Cornell Physics degree gave me deep grounding in the physical principles underlying electrical systems. I have 9 years teaching physics and mathematics and can connect theoretical EE — linear systems, frequency domain analysis, transforms — to real physical intuition in a way most textbooks do not.
Elementary Math

Elementary Math

I have 9 years of experience teaching mathematics to students of all ages, including young learners, and won the best teaching assistant award four times for my ability to make concepts click for students at every level. My deep mathematical training at Cornell and UC Berkeley means I can always find the clearest, most intuitive explanation for any concept. I particularly enjoy working with young students and nurturing their curiosity about numbers and patterns from the very beginning.
Elementary Science

Elementary Science

My Cornell degrees in Physics and Neuroscience give me a broad and deep foundation in the natural sciences that I love sharing with young learners. I have 9 years of teaching experience across biology, chemistry, physics, and earth science, and am skilled at making scientific concepts vivid, hands-on, and genuinely exciting for elementary-age students. I won the best teaching assistant award four times, recognized specifically for my ability to meet students where they are and build their confidence.
English

English

As an active researcher at UC Berkeley and HHMI, I write and edit at a high academic level daily — papers, reports, and technical documents requiring precision, clarity, and strong argumentation. I have 9 years of tutoring experience that includes helping students improve their writing, reading comprehension, and essay structure. I am particularly strong at helping STEM students develop clear, concise academic writing, and at helping non-native English speakers build formal academic fluency.
General Computer

General Computer

My PhD in Electrical and Computer Engineering at UC Berkeley and my hands-on research experience with scientific computing give me a strong technical foundation across all areas of general computing. I have 9 years of teaching technical subjects and am skilled at making computing concepts approachable for students with no prior background. I can help with hardware basics, operating systems, software applications, file management, and general technical troubleshooting.
Hindi

Hindi

I am a native speaker and writer, and I studied the language in school for more than 10 years. I am able to speak, read, and write very well in the language.
Information Technology

Information Technology

My PhD in Electrical and Computer Engineering at UC Berkeley and my hands-on research experience with scientific computing, data pipelines, and software systems give me a strong technical foundation across IT. I have 9 years teaching computer science and technical subjects and am skilled at making computing concepts accessible to students at all levels. I can help with foundational IT concepts, operating systems, software applications, networking basics, and technical troubleshooting.
Logic

Logic

Formal logic and proof-based reasoning are central to my training in both physics (Cornell) and computer engineering (UC Berkeley), where rigorous deductive argumentation is non-negotiable. My research in computational methods requires precise logical structuring of algorithms and theoretical proofs. I have 9 years teaching college-level mathematics and specialize in helping students build the proof-writing fluency that logic courses demand — propositional logic, predicate logic, induction, and formal systems.
Machine Learning/ AI

Machine Learning/ AI

I am an instructor at Neuromatch, a highly competitive international summer school for deep learning and computational neuroscience, where I supervise graduate-level ML research projects. My PhD research at UC Berkeley and HHMI applies deep learning and signal processing methods to scientific imaging. My Cornell Physics training provides the rigorous mathematical foundation — linear algebra, probability, optimization — that separates real ML understanding from surface-level familiarity. I can teach from linear models through transformers, with both theory and implementation.
MATLAB

MATLAB

I use MATLAB as a core tool in my research in computational imaging and signal processing at UC Berkeley and HHMI, giving me applied, current expertise in scientific and engineering computing. My ECE PhD training has reinforced my fluency in MATLAB for numerical methods, signal processing, and data visualization. I have 9 years of teaching engineering and computing subjects and can help students with MATLAB programming, debugging, and applications in signals, systems, and data analysis.
Mechanical Engineering

Mechanical Engineering

My Cornell Physics degree included rigorous formal training in classical mechanics, thermodynamics, fluid dynamics, and wave phenomena — the physical core of mechanical engineering. My UC Berkeley ECE PhD extended this with systems theory, computational methods, and applied mathematics. I have 9 years teaching physics at the high school and college level and am skilled at grounding abstract mechanical engineering theory in physical intuition. I can help with statics, dynamics, mechanics of materials, thermodynamics, and engineering mathematics.
Microsoft Excel

Microsoft Excel

I have used Microsoft Excel extensively for data organization, analysis, and visualization throughout my academic and research career at Cornell, UC Berkeley, and HHMI. My strong quantitative background allows me to help students use Excel not just for basic tasks but for statistical analysis, pivot tables, data modeling, and scientific computation. I have 9 years of teaching experience and can help students from complete beginners through advanced users working with complex datasets.
Microsoft Windows

Microsoft Windows

My ECE PhD training and active research computing experience give me strong fluency in Windows environments, including system configuration, file management, troubleshooting, and computing fundamentals. I have 9 years of teaching technical subjects and am patient and clear with students at all experience levels, from first-time computer users through more advanced system-level tasks.
Neuroscience

Neuroscience

I hold a Neuroscience degree from Cornell University and conduct active research at the Howard Hughes Medical Institute, where my work involves advanced optical imaging of neural systems. I am an instructor at Neuromatch, an internationally competitive summer school for computational neuroscience, where I supervise graduate-level research projects in neural modeling and data analysis. I can teach neuroscience from introductory neuroanatomy through advanced computational approaches, with particular depth in systems and cellular neuroscience.
Personal Statements

Personal Statements

My students have been admitted to Stanford, Columbia, UChicago, Johns Hopkins, Tufts, and the University of Washington — results built on highly targeted personal statement coaching. My own admissions journey from Cornell to UC Berkeley's PhD program gives me firsthand knowledge of what elite institutions look for. I help students find their most authentic narrative, structure it compellingly, and write with the clarity and specificity that distinguishes successful applications. I work from first brainstorm through final draft.
Physics

Physics

Physics is my undergraduate degree from Cornell University and the foundation of my PhD research at UC Berkeley and HHMI, where I apply optical and wave physics daily. I have 9 years of teaching physics at the high school and college level and won the best teaching assistant award four years running. My students have gone from scoring Ds to perfect scores on physics tests — a result I achieve by building physical intuition alongside mathematical rigor from the first session.
Prealgebra

Prealgebra

I have 9 years of experience teaching foundational mathematics, including prealgebra, and won the best teaching assistant award four times for my ability to make concepts accessible and build student confidence. My deep mathematical training at Cornell and UC Berkeley means I approach even introductory topics with unusual clarity and precision. I specialize in identifying and closing the specific gaps that prevent students from moving forward, and have a strong track record of turning struggling students into confident ones.
Precalculus

Precalculus

Precalculus is the bridge to calculus, and my Cornell Physics and UC Berkeley ECE background gives me complete mastery of every topic it covers — functions, trigonometry, exponentials, logarithms, conic sections, and sequences. I have 9 years of teaching precalculus and calculus at the high school and college level and have consistently brought students from Cs and Ds to As. I focus especially on building conceptual fluency — not just procedural skill — that makes calculus accessible.
Probability

Probability

Probability theory is foundational to my research at UC Berkeley and HHMI, where I use probabilistic and statistical models in computational imaging and data analysis daily. My Cornell Physics degree required rigorous training in probability from the outset, and my ECE PhD has deepened this further. I have taught probability at the college level for 9 years and can cover everything from combinatorics and basic probability through random variables, distributions, Markov chains, and Bayesian inference.
Public Speaking

Public Speaking

I have presented research at academic conferences and institutions throughout my career at Cornell, UC Berkeley, and HHMI, developing strong command of scientific communication for both technical and general audiences. I have 9 years of teaching experience in front of students and lecture audiences, and winning the best teaching assistant award four times reflects my ability to communicate complex ideas with clarity and engagement. I can help students with structure, delivery, slide design, and the confidence that comes from genuine preparation.
Quantum Physics

Quantum Physics

I received formal training in quantum mechanics, quantum optics, and modern physics as a Physics major at Cornell University, one of the world's leading physics programs. My PhD research at UC Berkeley in computational optics draws directly on quantum optical principles, keeping my knowledge current and applied. I have 9 years teaching physics at the high school and college level and am particularly skilled at making the abstract mathematical formalism of quantum mechanics — wavefunctions, operators, perturbation theory — physically intuitive.
Real Analysis

Real Analysis

Real analysis provides the rigorous mathematical foundation for signal processing and Fourier theory, both central to my PhD research at UC Berkeley. My Cornell Physics training demanded deep engagement with limits, convergence, and integration at a proof-based level from early on. I have 9 years teaching college-level mathematics and specialize in helping students navigate the transition from computational calculus to rigorous analysis — sequences, series, continuity, differentiation, and Lebesgue integration.
SAT Math

SAT Math

My formal training in physics and mathematics at Cornell and UC Berkeley gives me complete mastery of every concept on the SAT Math section. I have 9 years of experience preparing students for standardized math tests and am skilled at the specific combination of content review and test strategy that drives score gains. I identify each student's weak points in the first session and build a targeted plan from there.
Statistics

Statistics

Statistics and probability are core to both my Cornell Physics training and my PhD research at UC Berkeley and HHMI, where I apply statistical inference and modeling to biological imaging data daily. I have taught statistics and probability at the college level for 9 years and have a strong track record of improving student performance in statistics courses at every level, from AP Statistics through graduate-level methods.
Thermodynamics

Thermodynamics

Thermodynamics and statistical mechanics were core components of my Physics degree at Cornell, where I trained in both classical and statistical approaches to thermal systems. These principles connect directly to physical optics and photon statistics in my research at UC Berkeley and HHMI. I have 9 years teaching physics at the college level and am skilled at building physical intuition alongside mathematical rigor — the combination most students need to truly master thermodynamics.
Thesis Writing

Thesis Writing

I am an active PhD researcher at UC Berkeley and HHMI, with direct experience writing and revising research papers, technical reports, and dissertation-level scientific content. I have helped junior researchers and students develop clear, well-structured scientific arguments across STEM disciplines. My 9 years of academic teaching experience include coaching students on how to frame research questions, build rigorous arguments, and write with precision and economy. I can support students at any stage — outline through final draft.
Trigonometry

Trigonometry

Trigonometry is not just a math topic for me — it is the mathematical language of waves, optics, and signal processing that underpins my entire research program at UC Berkeley and HHMI. My Cornell Physics degree and ECE PhD have given me an exceptionally deep understanding of trigonometric functions and their applications. I have 9 years of teaching trigonometry and can connect abstract trig concepts to real physical phenomena in a way that makes them genuinely intuitive.

Examples of Expertise

Deepika has provided examples of their subject expertise by answering 4 questions submitted by students on Wyzant’s Ask an Expert.

See all of Deepika ’s answers ›
Deepika G.'s Photo

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Ratings and Reviews

Rating

5.0 (96 ratings)
5 star
(95)
4 star
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3 star
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2 star
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1 star
(1)

Reviews

most effective teacher I have ever had

Deepika brought me from a struggling students to scoring perfect scores on my physics tests. She is incredibly smart and has a unique way of explaining concepts. She is dedicated to her students and truly cares about their success. I have never worked with anyone before who has been this helpful. She really has a special way of understanding and teaching physics. I can not recommended her enough.

Brad, 22 lessons with Deepika
Tutor responded:

Thanks, Brad and Liza. There was no greater joy for me this last academic year than to work with Liza. She is a brilliant learner and there is no physics problem she cannot solve. I hope she is doing well.

Knowledgable on the content matter and helpful.

Deepika helped me grasp some concepts data analysis with python. She was able to understand the problem I had in a very short amount of time and direct me the right way. Very helpful!

Neeraj, 1 lesson with Deepika

AP Statistics

My son felt very comfortable with Deepika from the start. She is engaging and in my son’s words, “She makes math fun!” We unconditionally recommend Deepika and we will be seeking her help for the remainder of my son’s senior year in high school!

Michael , 6 lessons with Deepika

Great Teacher ,Very patience!!

Great Teacher ,Very patience ,she explains the concept by making relation with day to day activities,My son is always excited for her class,Looking forward for more lessons!!

Ami, 5 lessons with Deepika

Great Teacher ,Very patience!!

Great Teacher ,Very patience ,she explains the concept by making relation with day to day activities,My son is always excited for her class,Looking forward for more lessons!!

Ami, 5 lessons with Deepika
Tutor responded:

Thanks, Ami! Adi is a very excited learner and that is what pushes me as well. I am very excited about the lessons as well. Not to mention the fact that he is very curious about the world around him and there is nothing more exciting than that, and nothing more important for learning.

Editing a physics paper

Deepika G. has been a great help in editing a paper on physics. Her background is well founded and her understanding of “cutting to the chase” has condensed an overly wordy report down to more readable essential basics. Well done. Thank you.

George, 30 lessons with Deepika

Patient and peaceful tutor

We began the lesson discussing what I know and what I need to know, we then decided to go through the material by chapter and by homework. Deepika went slow and made sure I understood every concept before moving on to the next. I feel more comfortable about my Calculus final already. Would highly recommend her.

Soraya, 31 lessons with Deepika
Tutor responded:

Thanks, Soraya. You are a very good learner yourself. Students like you encourage me to get better at my skills.

Hourly Rate: $100
Response time: 4 hours
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