I am an Assistant Professor of Electrical Engineering at Harvard's John A. Paulson School of Engineering and Applied Sciences. Before joining Harvard I was a social good post-doctoral fellow at IBM Research in Yorktown Heights, New York. I received my Ph.D. in Electrical Engineering and Computer Science at MIT. My main research interests are information theory, inference, and statistics, with applications to privacy, fairness, machine learning, and communications engineering.

My research has three intertwined goals: (i) develop theory and models that capture the fundamental limits of estimation and learning from data, (ii) construct fair and private learning algorithms with performance guarantees based on these limits, and (iii) use this methodology as a design driver for future information processing and content distribution systems. In order to achieve these goals I use theoretical tools from information theory, statistics, cryptography and machine learning.

I consider myself a scientist who is an engineer at heart, so I enjoy doing fundamental research that serves as a design driver for practical applications. I have a broad set of interests which include information theory, statistics, communications and optimization. You can find more details in the publications below.

I am once again grateful to National Science Foundation for supporting our work on privacy with an NSF Medium grant and in fair machine learning with an NSF Eager grant.

Ok Google, thank you so very much for your generous gift (see under "Machine Learning and Data Mining").

I am very grateful for the support of the National Science Foundation for our research on information-theoretic foundations of fair machine learning (check out this GSAS feature). You can learn more details about the award at the Harvard SEAS website.

Thank you IBM!

Thank you NVidia for the two Titan XP GPUs awarded to our group.

We are excited to organize a course on ML at FEEC/Unicamp in August 2019! You can find more details here.

IEEE Trans. Inf. Theory, (accepted).

IEEE Trans. Inf. Theory (accepted).

IEEE Trans. Inf. Theory (accepted).

Epidemics. 2019 Jun;27:59-65.

NeurIPS Workshop on Human-Centric Machine Learning, 2019.

NeurIPS Workshop on Privacy and Machine Learning, 2019.

Proc. IEEE Int. Symp. on Inf. Theory (ISIT), 2019

Proc. IEEE Int. Symp. on Inf. Theory (ISIT), 2019

Proc. IEEE Int. Symp. on Inf. Theory (ISIT), 2019

Proc. IEEE Int. Symp. on Inf. Theory (ISIT), 2019

ICML 2019

The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS).

NeurIPS Workshop on Ethical, Social and Governance Issues in AI.

NeurIPS Workshop on Machine Learning for the Developing World (ML4D).

IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 5, pp. 1106-1119, Oct. 2018.

Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 706-710, 2018

Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 1216-1220, 2018

Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 531-535, 2018

Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 701-705, 2018

IEEE Trans. Inf. Forensics Security, vol. 13, no. 4, pp. 1058–1071, 2018

IEEE Trans. Inf. Theory, vol. 64, no. 3, pp. 1879-1892, 2018

NIPS 2017

Proc. 55th Annual Allerton Conference on Communication, Control, and Computing, 2017

IEEE Trans. Inf. Theory, vol. 63, no. 8, pp. 5011–5038, 2017

IEEE Trans. Wireless Commun., vol. 16, no. 5, pp. 3138–3150, 2017

IEEE Int. Symp. on Inf. Theory (ISIT), 2017, pp. 779–783

ICML 2016

Proc. 54th Annual Allerton Conference on Communication, Control, and Computing, 2016

IEEE Trans. Inf. Theory, vol. 61, no. 12, pp. 6876 – 6886, Dec 2015

Ph.D. Thesis, MIT, 2015

IEEE J. Sel. Topics Signal Proces., vol. 9, no. 7, pp. 1240–1255, 2015

Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 1796–1800, 2015

Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 2558–2562, 2015

Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 2944–2948, 2015

Proc. IEEE Inf. Theory Workshop, Nov. 2014

Proc. 52nd Annual Allerton Conference on Communication, Control, and Computing, 2014

Proc. 51st Annual Allerton Conference on Communication, Control, and Computing, 2013

Proc. IEEE Int. Symp. on Inf. Theory (ISIT), 2013, pp. 1257–1261

Proc. Asilomar Conference on Signals, Systems and Computers, 2013, pp. 51–55

Proc. IEEE GlobalSIP, 2013

Proc. IEEE 78th Vehicular Technology Conference, 2013, pp. 1–5

Proc. 50th Annual Allerton Conference on Communication, Control, and Computing, 2012

IEEE J. Sel. Areas Commun., vol. 30, no. 7, pp. 1270 –1280, Aug. 2012

Proc. 50th Annual Allerton Conference on Communication, Control, and Computing, 2012

Proc. IEEE Inf. Theory Workshop, Oct. 2011.

IEEE Trans. Wireless Commun., vol. 8, no. 7, pp. 3425–3429, Jul. 2009

Proc. IEEE Global Telecommunications Conference (GLOBECOM), Nov. 2008

- An updated list of filed/granted patents can be found on Google Patent Search.

**Fall 2019**: Information Theory (ES 250)

**Spring 2019**: Signals and Systems (ES 156)

**Spring 2018**: Signals and Systems (ES 156)

**Fall 2017**: Information Theory (ES 250)

**Email:** flavio (at) seas (dot) harvard (dot) edu

**Office:**

33 Oxford St.

Office MD 347

Cambridge, MA

02138