work | about | fun

JASMINE GALLEGOS

University of California, Berkeley

B.A. Applied Mathematics

B.A. Biochemistry & Biophysics

work | about | fun

JASMINE GALLEGOS

University of California, Berkeley

B.A. Applied Mathematics

B.A. Biochemistry & Biophysics

Languages:
Python, HTML/CSS, R, SQL, MATLAB, JavaScript


Quantitative Skills:

  • Probability theory (distributions, Bayes’ rule, expected value, conditional probability)

  • Statistics & regression analysis (hypothesis testing, confidence intervals, ANOVA, chi-square)

  • Abstract linear algebra (vector spaces, eigenvalues/eigenvectors, transformations, spectral theory)

  • Applied linear algebra (least squares, matrix decompositions, stability analysis)

  • Calculus & multivariable analysis (optimization, Taylor expansions, series convergence)

  • Real analysis & proofs (logical rigor, abstract reasoning)

  • Stochastic processes (Markov chains, random walks, Brownian motion)

  • Game theory & decision theory (Nash equilibria, expected value under uncertainty)

  • Optimization (convex optimization, Lagrangian multipliers, gradient descent)

  • Numerical methods (approximation, error analysis, root-finding, interpolation, quadrature)

  • Monte Carlo simulation & stochastic sampling

  • Differential equations (ODEs and PDEs; heat, wave, diffusion models; Fourier/Laplace transforms)

  • Discrete mathematics & combinatorics (graph theory, logic, recurrence relations, algorithm complexity)

  • Time series analysis & forecasting (stationarity, ARIMA models, statistical modeling of sequences)

  • Thermodynamics & statistical mechanics (entropy, free energy, Boltzmann distributions, partition functions)

  • Kinetics & rate laws (Michaelis–Menten, equilibrium constants, exponential decay)

  • Systems modeling (feedback loops, non-linear dynamics, biochemical networks)

  • Curve fitting & parameter estimation (least squares, nonlinear regression)

  • Experimental design & statistical testing (reproducibility, uncertainty quantification)

  • Error propagation & uncertainty quantification in experiments

  • Computational modeling of biomolecules (molecular dynamics, stochastic simulations)

  • Quantum mechanics foundations (wavefunctions, eigenstates, operators)

  • Electrodynamics & physical chemistry math (Fourier transforms, differential operators, spectroscopy)

  • Genetics & population modeling (probabilistic inheritance, Hardy–Weinberg equilibrium, population dynamics)

Skills

Outside of work, I love to stay involved in my community! At UC Berkeley, I’ve been involved in the Hispanic Scholarship Fund (HSF), Berkeley Business Society (External Vice President, Philanthropy Chair), Alpha Delta Pi (Executive Director of DEI), EC4EC (Campus Lead), Advocates for Youth (Fellow), Latinx Business Student Association, Pilipinx-American Alliance, ASUC Senator DuFour (Vice President of Marketing), Latinas in Tech (Volunteer), Epilepsy Foundation (Awareness Team), Red Cross (Blood Assistant), The Berkeley Project (Site Leader), UCSF Race Medical Team (Orthopedics), Cal Dragon Boat Team, and Kaiser Permanente Cal Alumni Mentors Program.


I’ve also been grateful to be the recipient of The Orion Fund Grant, Hispanic Scholarship Fund (HSF) Scholar and Scholarship, Berkeley Undergraduate Scholarship, Terry Lynn O'Brien (PTSA) Scholarship, American Association of University Women (AAUW) Scholarship, Sunrise Rotary Scholarship, Cal Alumni Mentors Program, Advocates 4 Youth Intern Program x3, Inaugural EC4EC Class, Cal Dragon Boat Team - Champions 2024, VPM of the Campaign for 1st Native American Senator in UC Berkeley History, Valedictorian, and Scholar of Scholars.

Leadership & Awards


Skills

Skills

Languages:
Python, HTML/CSS, R, SQL, MATLAB, JavaScript


Quantitative Skills:

  • Probability theory (distributions, Bayes’ rule, expected value, conditional probability)

  • Statistics & regression analysis (hypothesis testing, confidence intervals, ANOVA, chi-square)

  • Abstract linear algebra (vector spaces, eigenvalues/eigenvectors, transformations, spectral theory)

  • Applied linear algebra (least squares, matrix decompositions, stability analysis)

  • Calculus & multivariable analysis (optimization, Taylor expansions, series convergence)

  • Real analysis & proofs (logical rigor, abstract reasoning)

  • Stochastic processes (Markov chains, random walks, Brownian motion)

  • Game theory & decision theory (Nash equilibria, expected value under uncertainty)

  • Optimization (convex optimization, Lagrangian multipliers, gradient descent)

  • Numerical methods (approximation, error analysis, root-finding, interpolation, quadrature)

  • Monte Carlo simulation & stochastic sampling

  • Differential equations (ODEs and PDEs; heat, wave, diffusion models; Fourier/Laplace transforms)

  • Discrete mathematics & combinatorics (graph theory, logic, recurrence relations, algorithm complexity)

  • Time series analysis & forecasting (stationarity, ARIMA models, statistical modeling of sequences)

  • Thermodynamics & statistical mechanics (entropy, free energy, Boltzmann distributions, partition functions)

  • Kinetics & rate laws (Michaelis–Menten, equilibrium constants, exponential decay)

  • Systems modeling (feedback loops, non-linear dynamics, biochemical networks)

  • Curve fitting & parameter estimation (least squares, nonlinear regression)

  • Experimental design & statistical testing (reproducibility, uncertainty quantification)

  • Error propagation & uncertainty quantification in experiments

  • Computational modeling of biomolecules (molecular dynamics, stochastic simulations)

  • Quantum mechanics foundations (wavefunctions, eigenstates, operators)

  • Electrodynamics & physical chemistry math (Fourier transforms, differential operators, spectroscopy)

  • Genetics & population modeling (probabilistic inheritance, Hardy–Weinberg equilibrium, population dynamics)

Languages:
Python, HTML/CSS, R, SQL, MATLAB, JavaScript


Quantitative Skills:

  • Probability theory (distributions, Bayes’ rule, expected value, conditional probability)

  • Statistics & regression analysis (hypothesis testing, confidence intervals, ANOVA, chi-square)

  • Abstract linear algebra (vector spaces, eigenvalues/eigenvectors, transformations, spectral theory)

  • Applied linear algebra (least squares, matrix decompositions, stability analysis)

  • Calculus & multivariable analysis (optimization, Taylor expansions, series convergence)

  • Real analysis & proofs (logical rigor, abstract reasoning)

  • Stochastic processes (Markov chains, random walks, Brownian motion)

  • Game theory & decision theory (Nash equilibria, expected value under uncertainty)

  • Optimization (convex optimization, Lagrangian multipliers, gradient descent)

  • Numerical methods (approximation, error analysis, root-finding, interpolation, quadrature)

  • Monte Carlo simulation & stochastic sampling

  • Differential equations (ODEs and PDEs; heat, wave, diffusion models; Fourier/Laplace transforms)

  • Discrete mathematics & combinatorics (graph theory, logic, recurrence relations, algorithm complexity)

  • Time series analysis & forecasting (stationarity, ARIMA models, statistical modeling of sequences)

  • Thermodynamics & statistical mechanics (entropy, free energy, Boltzmann distributions, partition functions)

  • Kinetics & rate laws (Michaelis–Menten, equilibrium constants, exponential decay)

  • Systems modeling (feedback loops, non-linear dynamics, biochemical networks)

  • Curve fitting & parameter estimation (least squares, nonlinear regression)

  • Experimental design & statistical testing (reproducibility, uncertainty quantification)

  • Error propagation & uncertainty quantification in experiments

  • Computational modeling of biomolecules (molecular dynamics, stochastic simulations)

  • Quantum mechanics foundations (wavefunctions, eigenstates, operators)

  • Electrodynamics & physical chemistry math (Fourier transforms, differential operators, spectroscopy)

  • Genetics & population modeling (probabilistic inheritance, Hardy–Weinberg equilibrium, population dynamics)

Leadership & Awards


Leadership & Awards


Outside of work, I love to stay involved in my community! At UC Berkeley, I’ve been involved in the Hispanic Scholarship Fund (HSF), Berkeley Business Society (External Vice President, Philanthropy Chair), Alpha Delta Pi (Executive Director of DEI), EC4EC (Campus Lead), Advocates for Youth (Fellow), Latinx Business Student Association, Pilipinx-American Alliance, ASUC Senator DuFour (Vice President of Marketing), Latinas in Tech (Volunteer), Epilepsy Foundation (Awareness Team), Red Cross (Blood Assistant), The Berkeley Project (Site Leader), UCSF Race Medical Team (Orthopedics), Cal Dragon Boat Team, and Kaiser Permanente Cal Alumni Mentors Program.


I’ve also been grateful to be the recipient of The Orion Fund Grant, Hispanic Scholarship Fund (HSF) Scholar and Scholarship, Berkeley Undergraduate Scholarship, Terry Lynn O'Brien (PTSA) Scholarship, American Association of University Women (AAUW) Scholarship, Sunrise Rotary Scholarship, Cal Alumni Mentors Program, Advocates 4 Youth Intern Program x3, Inaugural EC4EC Class, Cal Dragon Boat Team - Champions 2024, VPM of the Campaign for 1st Native American Senator in UC Berkeley History, Valedictorian, and Scholar of Scholars.

Outside of work, I love to stay involved in my community! At UC Berkeley, I’ve been involved in the Hispanic Scholarship Fund (HSF), Berkeley Business Society (External Vice President, Philanthropy Chair), Alpha Delta Pi (Executive Director of DEI), EC4EC (Campus Lead), Advocates for Youth (Fellow), Latinx Business Student Association, Pilipinx-American Alliance, ASUC Senator DuFour (Vice President of Marketing), Latinas in Tech (Volunteer), Epilepsy Foundation (Awareness Team), Red Cross (Blood Assistant), The Berkeley Project (Site Leader), UCSF Race Medical Team (Orthopedics), Cal Dragon Boat Team, and Kaiser Permanente Cal Alumni Mentors Program.


I’ve also been grateful to be the recipient of The Orion Fund Grant, Hispanic Scholarship Fund (HSF) Scholar and Scholarship, Berkeley Undergraduate Scholarship, Terry Lynn O'Brien (PTSA) Scholarship, American Association of University Women (AAUW) Scholarship, Sunrise Rotary Scholarship, Cal Alumni Mentors Program, Advocates 4 Youth Intern Program x3, Inaugural EC4EC Class, Cal Dragon Boat Team - Champions 2024, VPM of the Campaign for 1st Native American Senator in UC Berkeley History, Valedictorian, and Scholar of Scholars.

Things I like to do

Things I like to do

I love practicing yoga, baking cakes for my friends, thrifting, and competing in the yearly March Madness bracket challenge. In 2022 I was in the 100th percentile! (Yes, I realize that is impossible, but it was essentially the 99.999999999th percentile, so I round up.)

I love practicing yoga, baking cakes for my friends, thrifting, and competing in the yearly March Madness bracket challenge. In 2022 I was in the 100th percentile! (Yes, I realize that is impossible, but it was essentially the 99.999999999th percentile, so I round up.)

Please email me at jasminegallegos@berkeley.edu for my resume or full CV!

Resume/CV

Resume/CV

Please email me at jasminegallegos@berkeley.edu for my resume or full CV!

Please email me at jasminegallegos@berkeley.edu for my resume or full CV!

Resume/CV

Things I like to do

I love practicing yoga, baking cakes for my friends, thrifting, and competing in the yearly March Madness bracket challenge. In 2022 I was in the 100th percentile! (Yes, I realize that is impossible, but it was essentially the 99.999999999th percentile, so I round up.)

University of California, Berkeley

B.A. Applied Mathematics

B.A. Biochemistry, Biophysics, & Structural Biology

University of California, Berkeley

B.A. Applied Mathematics

B.A. Biochemistry & Biophysics

University of California, Berkeley

B.A. Applied Mathematics

B.A. Biochemistry & Biophysics

email: jasminegallegos@berkeley.edu

linkedin: www.linkedin.com/in/jasmineinezgallegos

email: jasminegallegos@berkeley.edu

linkedin: www.linkedin.com/in/jasmineinezgallegos