Slavov lab | Quantitative Biology
Seeking  principles
in the coordination among protein synthesis, metabolism, cell growth and differentiation

Research Team

Our diverse team is united in pursuing scientific excellence in an environment supporting curiosity and brave exploration. We are committed to scientific rigor and open collaboration. Our group actively fosters career development.  

2010   Ph.D.   Botstein Lab, Princeton University
2004   B.S.     Massachusetts Institute of Technology


Professor Slavov
Andrew Leduc

2024   PhD.   Northeastern University
2016   B.S.    Lehigh University

Bin Zhang

2022   Ph.D.    Tsinghua University

Eunice Koo

undergraduate    Northeastern University

Hannah Harens

2022   B.S    Massachusetts Institute of Technology

Luke Khoury

2017   B.S.    UC Santa Barbara

Orhun Kok

2022   M.S    Northeastern University

Rainer Machne

2017   Ph.D.    University of Vienna

Saad Khan

2018   M.S.    University of Warwick

Satyajit Rajapurkar

2014   M.S.    University of Pennsylvania

Sina Rafiee

2016   PhD.    EMBL, Heidelberg




Aleksandra Petelski

2022   PhD.    Northeastern University
2016   M.S.    Stevens Institute of Technology
Next position:    Cofounder, Parallel Squared Technology Institute


Andrew Leduc

2024   PhD.   Northeastern University
2016   B.S.    Lehigh University
Next position:    Postdoctoral Fellow, Slavov Lab

R. Gray Huffman

2022   PhD   Northeastern University
2016   B.S    CUNY City College
Next position:    Research Scientist, GlycoPath

Jason Derks

2022   PhD.    Northeastern University
2015   B.S.    UC Santa Barbara
Next position:    Senior Scientist, Parallel Squared Technology Institute


Harrison Specht

2022   PhD.    Northeastern University
2014   B.A.     Cornell University
Next position:    Cofounder, Parallel Squared Technology Institute

Shiri Tsour

2024   PhD.    Northeastern University
2016   M.S.     New York University
Next position:    Senior Scientist at Alnylam








Prospective applicant


Advertised Projects:


Desired qualities:
  • You seek conceptual ideas, enjoy discussing them and testing them rigorously
  • You are interested in experimental biology and have or want to develop quantitative skills
  • You want to develop and apply algorithms for data analysis, machine learning and statistical inference
  • You want to learn (or have experience with) tissue culture and basic molecular biology techniques
  • You are creative and enjoy working collaboratively
  • You have good communication skills and want to further develop them
  • Welcome Page


Postdoctoral Fellowships:

Doctoral Fellowships:


Meeting Place: